The document contains descriptions and statistical analyses of survey data related to attitudes toward the Conservative Party and its leader David Cameron in the UK. It includes 27 figures showing results of tests like t-tests, ANOVAs, and regressions examining relationships between variables like gender, age, social class, interest in politics, and ratings of Cameron's trustworthiness, feelings toward him, and perceptions of the Conservatives' economic record. The analyses aimed to understand how these demographic and political variables related to views of Cameron and the Conservatives.
Este documento presenta los lineamientos curriculares para el primer curso de Informática Aplicada a la Educación en el Bachillerato General Unificado. El objetivo principal es enseñar a los estudiantes a utilizar herramientas tecnológicas como procesadores de texto, presentaciones, hojas de cálculo y redes sociales de forma ética y funcional para apoyar el aprendizaje en otras asignaturas. Los estudiantes desarrollarán habilidades como buscar y analizar información en Internet, comunicarse de forma colaborativa en línea
Buy outdoor furniture Melbourne by Palm Industries come with guaranteed premium quality material and designs that are prepared by the expert artisans specially for you.
Información sobre 4 productos básicos para la vida.
Actualmente, la suplementación ya no es un lujo, sino una necesidad. Nuestro cuerpo necesita poder realizar una serie de funciones y para ello es indispensable que tenga disponibles unos nutrientes básicos.
This document provides information on various music, fashion, and food items. It discusses Carl Cox's final season at Space Ibiza and describes it as his best season yet, with the club at full capacity every week by 2am. It also summarizes some of the winners of the 2016 DJ Awards, with Carl Cox winning the awards for Techno and International, and Space winning the newly created Iconic Club Award.
O documento apresenta trechos de uma reportagem sobre a dependência do mundo em relação ao petróleo e as alternativas energéticas em desenvolvimento. Os textos de apoio indicam que embora o petróleo ainda seja amplamente utilizado, as fontes renováveis como solar, eólica e biomassa já atendem 18% da demanda e seu uso está crescendo. O Brasil se destaca por seu maior uso de fontes renováveis como biomassa e hidrelétrica em comparação ao mundo.
materi sistematika hewan chordata, mengenai amfibia dan reptilia untuk membantu memahami sistematika emfibia dan reptilia bagi pelajar umum dan mahasiswa...
by: Eko Purnomo
Este documento discute a educação a distância através de três trechos. O primeiro mostra o governador de São Paulo assinando a criação de uma universidade virtual, apesar de ter dúvidas sobre o ensino a distância. O segundo defende que o ensino a distância é mais democrático ao possibilitar o acesso de profissionais de todo o país a especialistas das grandes cidades. O terceiro argumenta que a internet ajuda mas não é suficiente sozinha, sendo necessárias trocas presenciais no aprendizado.
BethelRoc Announcements for Oct. 9, 2016Mikayla Kayne
Bethelroc.com provides information about Bethel Rock. The website likely contains details about the company, its services, contact information, and other relevant content. Visitors can learn more by going to the URL bethelroc.com.
Este documento presenta los lineamientos curriculares para el primer curso de Informática Aplicada a la Educación en el Bachillerato General Unificado. El objetivo principal es enseñar a los estudiantes a utilizar herramientas tecnológicas como procesadores de texto, presentaciones, hojas de cálculo y redes sociales de forma ética y funcional para apoyar el aprendizaje en otras asignaturas. Los estudiantes desarrollarán habilidades como buscar y analizar información en Internet, comunicarse de forma colaborativa en línea
Buy outdoor furniture Melbourne by Palm Industries come with guaranteed premium quality material and designs that are prepared by the expert artisans specially for you.
Información sobre 4 productos básicos para la vida.
Actualmente, la suplementación ya no es un lujo, sino una necesidad. Nuestro cuerpo necesita poder realizar una serie de funciones y para ello es indispensable que tenga disponibles unos nutrientes básicos.
This document provides information on various music, fashion, and food items. It discusses Carl Cox's final season at Space Ibiza and describes it as his best season yet, with the club at full capacity every week by 2am. It also summarizes some of the winners of the 2016 DJ Awards, with Carl Cox winning the awards for Techno and International, and Space winning the newly created Iconic Club Award.
O documento apresenta trechos de uma reportagem sobre a dependência do mundo em relação ao petróleo e as alternativas energéticas em desenvolvimento. Os textos de apoio indicam que embora o petróleo ainda seja amplamente utilizado, as fontes renováveis como solar, eólica e biomassa já atendem 18% da demanda e seu uso está crescendo. O Brasil se destaca por seu maior uso de fontes renováveis como biomassa e hidrelétrica em comparação ao mundo.
materi sistematika hewan chordata, mengenai amfibia dan reptilia untuk membantu memahami sistematika emfibia dan reptilia bagi pelajar umum dan mahasiswa...
by: Eko Purnomo
Este documento discute a educação a distância através de três trechos. O primeiro mostra o governador de São Paulo assinando a criação de uma universidade virtual, apesar de ter dúvidas sobre o ensino a distância. O segundo defende que o ensino a distância é mais democrático ao possibilitar o acesso de profissionais de todo o país a especialistas das grandes cidades. O terceiro argumenta que a internet ajuda mas não é suficiente sozinha, sendo necessárias trocas presenciais no aprendizado.
BethelRoc Announcements for Oct. 9, 2016Mikayla Kayne
Bethelroc.com provides information about Bethel Rock. The website likely contains details about the company, its services, contact information, and other relevant content. Visitors can learn more by going to the URL bethelroc.com.
Question 1 of 201.0 PointsA sample of 20 observations has a st.docxhildredzr1di
Question 1 of 20
1.0 Points
A sample of 20 observations has a standard deviation of 4. The sum of the squared deviations from the sample mean is:
A.
320
B.
304
C.
288
D.
400
Reset Selection
Question 2 of 20
1.0 Points
Suppose that a histogram of a data set is approximately symmetric and "bell shaped". Approximately, what percent of the observations are within three standard deviations of the mean?
A.
50%
B.
99.7%
C.
95%
D.
68%
Reset Selection
Question 3 of 20
1.0 Points
Which of the following correctly describes the relationship between a sample and a population?
A.
A sample is a group of populations that are subject to observation.
B.
A population and a sample are not related.
C.
A population is a group of samples that may or may not be included in a study
D.
A sample is a group of subjects selected from a population to be studied.
Reset Selection
Question 4 of 20
1.0 Points
A histogram that has a single peak and looks approximately the same to the left and right of the peak is called:
A.
bimodal
B.
symmetric
C.
proportional
D.
balanced
Reset Selection
Question 5 of 20
1.0 Points
Which of the following statements is true for the following data values: 7, 5, 6, 4, 7, 8, and 12?
A.
Only the mean and median are equal
B.
The mean, median and mode are all equal
C.
Only the median and mode are equal
D.
Only the mean and mode are equal
Reset Selection
Question 6 of 20
1.0 Points
If a variable has possible values –2, 6, and 17, then this variable is
A.
both a continuous and a discrete variable
B.
a discrete variable
C.
neither a continuous nor a discrete variable
D.
a continuous variable
Reset Selection
Question 7 of 20
1.0 Points
Which of the following statements is true regarding the data set 10, 10, 10, 10, and 10?
A.
The range is zero
B.
The standard deviation equals zero
C.
The interquartile range equals zero
D.
all of the above
Reset Selection
Question 8 of 20
1.0 Points
Gender and State are examples of which type of data?
A.
Discrete data
B.
Continuous data
C.
Categorical data
D.
Ordinal data
Reset Selection
Question 9 of 20
1.0 Points
If a value represents the 95th percentile, this means that
A.
95% of the time you will observe this value
B.
95% of all values are below this value
C.
95% of all values are above this value
D.
there is a 5% chance that this value is incorrect
Reset Selection
Question 10 of 20
1.0 Points
A scatter plot would be useful for
A.
Showing the trend of sales, over time, of five different brands of blank DVDs
B.
Showing the relationship between the sales of blank CDs and blank DVDs
C.
Showing the top selling brands of blank DVDs
D.
Showing the relative number of sales of four different brands of blank DVDs
Reset Selection
Question 11 of 20
1.0 Points
Which of the following indicates how many observations fall into various categories?
A.
The frequency table
B.
The tabulation scale
C.
The Likert scale
D.
The sample table
Reset .
Introduction to Statistics Part A - Outputs 1. A sa.docxmariuse18nolet
Introduction to Statistics
Part A - Outputs:
1. A sample of university employees had been assembled. An output
concerning their education is presented below. Study the output and
answer the following questions:
a. What is the mean, median and the standard deviation?
b. Firstly, what is the interquartile range, and secondly, how many education years has
the most educated employee?
c. what is the number of education years that 36% of the sample has that number of
education years or below it? Answer the same question for 83%.
d. Firstly, how many employees has 12 education years or less? Secondly, how many
employees have missing values in the variable education years?
Statistics
Highest Year of School Completed
1510
7
12.88
12.00
12
2.984
8.904
20
0
20
19455
9.00
12.00
12.00
12.00
15.00
16.00
Valid
Missing
N
Mean
Median
Mode
St d. Dev iation
Variance
Range
Minimum
Maxim um
Sum
10
25
36
50
75
83
Percentiles
2. Researcher which studies the field of eating disorders checked the
correlation between subjects body image ranking and the degree to
which they restrict food intake. Study the output and answer the
following questions:
Highest Year of School Completed
2 .1 .1 .1
5 .3 .3 .5
5 .3 .3 .8
6 .4 .4 1.2
12 .8 .8 2.0
25 1.6 1.7 3.6
68 4.5 4.5 8.1
56 3.7 3.7 11.9
73 4.8 4.8 16.7
85 5.6 5.6 22.3
461 30.4 30.5 52.8
130 8.6 8.6 61.5
175 11.5 11.6 73.0
73 4.8 4.8 77.9
194 12.8 12.8 90.7
43 2.8 2.8 93.6
45 3.0 3.0 96.6
22 1.5 1.5 98.0
30 2.0 2.0 100.0
1510 99.5 100.0
7 .5
1517 100.0
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Total
Valid
NAMissing
Total
Frequency Percent Valid Percent
Cumulat iv e
Percent
Correlati ons
1 .383**
.000
217 217
.383** 1
.000
217 217
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Body perception
Restriction of f ood
intake (f asting)
Body
perception
Restriction of
f ood intake
(f asting)
Correlation is signif icant at the 0.01 lev el (2-t ailed).**.
1. What can be inferred from the table?
a. There is a significant negative correlation between the variables.
b. There is a moderately negative correlation between the variables.
c. There is a moderately positive correlation between the variables.
d. There is a weak positive correlation between the variables.
2. Report the correlation.
3. The following output present a regression done in order to predict
the number of SMS messages a person sends to his\hers partner by the
length of the relationship (in years). Study the output and answer the
following questions:
Regression
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 -.661(a) .436 .435 123.540
a Predictors: (Constant), Duration of relationship (years)
ANOVA(b)
.
The document provides a statistical profile and cluster analysis of customers for Acme Company. It analyzes customers across various demographic variables like age, income, occupation, household type, and interests. Four key customer clusters are identified that differ in characteristics like income, education, and other attributes. The analysis aims to develop targeted marketing recommendations for Acme based on which customer segments are most likely to respond.
This document analyzes factors influencing voter opinion of David Cameron and support for the Conservative party in the 2015 British general election using statistical tests on individual and aggregate data. It finds that working class voters were less likely to trust Cameron than middle class voters, and those unaffiliated with a class were most trusting. Interest in politics positively correlated with feelings toward Cameron. Liberal Democrat voters liked Cameron more despite the failed coalition. A regression model found a small positive correlation between voter age and feelings toward Cameron. Analyses of aggregated constituency data found unemployment negatively correlated with Conservative vote share, and a regression model explained Conservative vote share in relation to retiree rates, homeownership rates, and social class distributions.
The document discusses descriptive statistics performed on survey data from the Brian Lamb School of Communication. It analyzes variables like respondent gender, age, grade level, and perceptions of majoring in communication. Across several tables and analyses, it finds that as respondent age and grade level increase, their perceptions of ease of finding a job, job income potential, and importance of major also increase. The last analysis shows median perceptions remain consistent while multiple modes exist for perceptions of major difficulty. More evaluation is needed to understand the multiple modes.
A study of graduate & post graduate students regarding their career plansVaibhav Vaidya
Its a study done about career plans of students.
To study the trend of higher education.
Google form was made for collection of data and was shared with different field of students
Exam 1 (covers Chapters 1-7)Math 140Show all work! Na.docxSANSKAR20
Exam 1 (covers Chapters 1-7)
Math 140
Show all work! Name:______________________________
Seat number:____________________________
Papers without name and/or seating number will loose 10 points of total possible. Write your complete name and seat number now. Each problem or part has 5 points.
1) Because elderly people may have difficulty standing to have their heights measured, a study looked at predicting overall height from height to the knee. Here are data (in centimeters) for six elderly
Knee height x
57.6
46.4
43.5
44.8
52.2
54.6
Height y
192.1
152.3
146.4
162.7
174.1
177.8
Use your calculator: The correlation between knee height and overall height is about
(a) r =0.08. (b) r =0.89. (c) r =0.74 (d) none of the above
2) The National Association of College and University Business Officers collects data on college endowments. In 2011, 834 colleges and universities reported the value of their endowments. When the endowment values are arranged in order, what are the locations of the median and the quartiles in this ordered list?
Select the correct statement: If a distribution is skewed to the left,
(a) the mean is less than the median.
(b) the mean and median are equal.
(c) the mean is greater than the median.
(d) none of the above
3) A recent study found that consuming more fast food, candy and soda was not correlated with higher body mass index (BMI). This indicates that:
(a) People with higher BMIs tend to consume more fast food than people with lower BMIs
(b) People with higher BMIs tend to consume less fast food than people with lower BMIs
(c) The more fast food a person tends to consume, the higher their BMI tends to be
(d) The more fast food a person tends to consume, the lower their BMI tends to be
(e) None of the above
Use these data for the next two problems: In a usual way to study the brain’s response to sounds is to have subjects listen to pure tones. They fed pure tone and also monkey calls directly to their brains by inserting electrodes.
neuron
1
2
3
4
5
6
7
8
9
10
11
12
tone
474
256
241
226
185
174
176
168
161
150
19
20
call
500
138
485
338
194
159
341
85
303
208
66
54
neuron
13
14
15
16
17
18
19
20
tone
35
145
141
129
113
112
102
100
call
103
42
241
194
123
182
141
118
4) We might expect some neurons to have strong responses to any stimulus and others to have consistently weak responses. There would then be a strong relationship between tone response and call response. From the scatterplot of monkey call response against pure-tone response what would you estimate the correlation r to be?
(a) -0.6 (b) -0.1 (c) 0.1 (d) 0.6
5) Which of the following statements about the scatterplot given above is correct?
(a) There is moderate evidence that pure-tone response cause monkey call response.
(b) There is moderate evidence that monkey call response cause pure-tone response.
(c) There are one or two outliers, and at least one of these may also be influential.
(d) None of the ab ...
The document discusses a study examining the impact of service performance factors like reliability, responsiveness, assurance, empathy and tangibles on customer perception of coaching institutes for MBA programs. It aims to analyze the effect of demographics on the relationship between service performance and customer perception. The study tests hypotheses about the independence of service performance factors and customer perception from demographic variables like age, gender, income level, education and work experience. It involves collecting data through a survey, analyzing the data using descriptive analysis, correlation analysis and regression analysis and reporting the results.
STAT225 Introduction to Statistics in the Behavioral Sciences.docxdessiechisomjj4
STAT225: Introduction to Statistics in the Behavioral Sciences
1. In a school election, five people run for student body president. The actual number of votes for each candidate would be a(n) variable. If the total number of votes were removed and the candidates were listed in order of least to most popular, this would be a(n)
variable.
a. ratio; ordinal b. ordinal; ratio c. ratio; nominal
d. nominal; ordinal
2. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the explanatory/independent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
3. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the response/dependent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
Please use the following information to answer questions 4 through 9
An industrial psychologist at a company has heard that desk bikes could help employees to lose weight, increase their stamina, and improve productivity. Sixteen employees were provided with desk bikes and the total number of pounds they lost, after one month, was recorded. Here are the data, in pounds lost, per employee:
4
8
12
0
2
20
18
0
12
6
12
16
10
8
12
4
4. What is the range of this distribution?
a. 0 t o 20 b. 20
c. 18 d. 4
5. What is the mean number of pounds that were lost by the employees in one month?
a.
9.88
b.
10.4
c.
12
d.
9
6. What is the median number of pounds that were lost by the employees in one month?
a.
8
b.
9
c.
10
d.
11
7. What is the variance of the number of pounds that were lost by the employees in one month?
a.
37.33
b.
9.72
c.
9.85
d.
6.11
8. What is the Interquartile range for this distribution?
a.
4
b.
8
c.
9
d.
12
9. How many outliers are in this distribution?
a. 0 b. 1
c. 2
d. Unable to determine from this information
The following graph depicts the typical relationship found between physiological arousal (anxiety) levels (e.g., range from 0 = no anxiety to 10=extreme anxiety) and test performance (e.g., percentage of correct answers on test).
Please use the following information to answer questions 10 and 11.
100%
Test Performance (in Percentage)
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Relationship Between Physiological Arousal Level and Test
Performance
0 2 4 6 8 10
Physiological Arousal Level
10. Based on this graph, what type of relation exists between physiological arousal level and test performanc.
The analysis of the data has been done using excel statistical sof.docxmattinsonjanel
The analysis of the data has been done using excel statistical software. First, the demand and popularity of each product has been analyzed using pie charts. The extracts from excel shows the distributions of the three product lines across age, sex and education. The three types of bicycles have analyzed in terms of the number of customers using them, sex, and education levels.
The low product line has the highest demand as 80 customers selected, followed by middle product line with 61 customers and finally upper product line. The following extracts shows the demand of the three bicycles on the basis of number of customers, sex, and education.
Analyzing the popularity and demand for three bicycles using sex showed that males have a higher proportion of using bicycles than females. This is show in the following extract and chart.
Also, the level of education determines the use of bicycles. The demand for bicycles varies across the different levels of education. The analysis revealed that non-college high school diploma do not use bicycles. The following pie chart shows the proportion of each education level with respect to the use of bicycles.
Education
Number of Customers
Percentage
Non-High School Diploma
0
0%
High School Diploma
2
1%
Some-College -level work
67
37%
College Degree
97
54%
Graduate Degree at work
14
8%
However, the use of the three products line varied greatly with the age of customers. The following frequency distribution table shows the age group of customers and the frequency of using the three products line.
Bin
Frequency
Cumulative %
Bin
Frequency
Cumulative %
20
10
5.56%
25
62
34.44%
25
62
40.00%
30
45
59.44%
30
45
65.00%
35
32
77.22%
35
32
82.78%
40
16
86.11%
40
16
91.67%
20
10
91.67%
45
8
96.11%
45
8
96.11%
50
7
100.00%
50
7
100.00%
More
0
100.00%
More
0
100.00%
As it can be seen from the histogram, the distribution of age of customers and the frequency on uses of bikes is negatively skewed. That is, at early ages, customers use bicycles more than old ages. At age group 20-25, the demand of bicycles is high and it decreases as age increases. The mean age, median age, mode of an average customer is showed in the following table. The table also shows the average income that most customers receive,
Mean Age
28.98889
Mode Age
25
Median Age
27
Average Income
35672.22
Median Income
34000
More analysis have been done on individual products lines in order to determine the mean age of a customer at a given product line; average salary, average miles/ week, average times/ week among other analysis. The following discussion focuses on each of the three product lines.
a) Lower Product Line.
The following analysis shows the profile of an average customer who chooses to by Low Product Line.
Mean Age
28.6
Sex
Males
55%
Females
45%
Status
Single:
36%
Married.
64%
Mean Salary
30700
Average Miles
88
Average Time/week
3.01 ...
This document discusses the importance of monitoring and measurement in public relations and communications. It provides an overview of Katie Delahaye Paine's company, Paine Publishing, which helps communications professionals define and measure success. It discusses the need to move beyond traditional metrics like impressions and earned media value to more meaningful metrics that measure outcomes and impact on business goals. It outlines industry standards and principles for social media measurement developed by the Barcelona Principles project. Finally, it provides a case study of how the Atlantic City Alliance used monitoring and metrics to improve the tone and quality of media coverage about Atlantic City and correlate that coverage with increases in website traffic and changes in public perceptions.
In this webinar, NewMR Founder Ray Poynter discusses how to look for patterns in research data, as part of his wider 'Finding and Communicating the Story' series.
View the recording via NewMR.org
This document describes a survey conducted by students on understanding of colon cancer between male and female students. It includes an introduction outlining the survey's purpose to compare understanding between genders, as well as sections on objectives, methodology, survey results, analysis of the results, and a conclusion. The methodology section describes how the students distributed and collected 100 surveys each from male and female students. The results and analysis sections present the responses to each survey question in percentages and compare the understanding between genders.
This document summarizes a survey conducted by students on understanding of colon cancer between male and female students. The survey included 21 multiple choice questions distributed to 100 male and 100 female students. The responses were analyzed and percentages of each answer were calculated. Overall, the analysis found that female students displayed a higher level of understanding about colon cancer than male students on most questions.
Magellan Strategies 2012 Internal Survey Research Summary Memorandum 120612Magellan Strategies
This memorandum is a full review of Magellan Strategies surveys from the 2012 election cycle. The memorandum goes into detail about the challenges of survey research for the cycle, and how well Magellan Strategies research held up to the final outcome.
The document provides demographic information about a sample of 2008 cinema industry workers in India. A majority were male (89.7%) and from Tamil Nadu (85.2%). Most had low levels of education, with 33.8% completing schooling and only 6.2% attending college. 72.6% had migrated from other places for work. Chi-square tests found several significant differences between male and female workers, such as reasons for migration, union membership rates, and rates of sexual exploitation.
- The documents provide data from surveys about income, entertainment preferences, opinions of the LA Clippers basketball team, and demographics of respondents.
- Crosstabulations analyze relationships between different survey questions and categories of responses, showing counts and percentages.
- The data appears to come from a case study or market research with 50 respondents on their behaviors and attitudes.
We are turning more and more “work” over to computers. However, this comes with a lot of responsibility. As we automate work, the impact of bad policies and decisions grows exponentially. We need to be vigilant to make sure that our work produces accurate results using sound research methods.
We need to remember that the process of research is as important as the results. It is easy to forsake methodology, as Big Data distances researchers from the research process, and puts the focus on data collection, storage, and processing. However, practicing solid methods is the best way to produce accurate results. During this presentation we will explore important research topics. For example we will explore the exponential increase in noise — spurious relationships — as the number of variables increase and time horizons narrow. We will also cover ways to detect and prevent spurious relationships in a Big Data context.
Question 1 of 201.0 PointsA sample of 20 observations has a st.docxhildredzr1di
Question 1 of 20
1.0 Points
A sample of 20 observations has a standard deviation of 4. The sum of the squared deviations from the sample mean is:
A.
320
B.
304
C.
288
D.
400
Reset Selection
Question 2 of 20
1.0 Points
Suppose that a histogram of a data set is approximately symmetric and "bell shaped". Approximately, what percent of the observations are within three standard deviations of the mean?
A.
50%
B.
99.7%
C.
95%
D.
68%
Reset Selection
Question 3 of 20
1.0 Points
Which of the following correctly describes the relationship between a sample and a population?
A.
A sample is a group of populations that are subject to observation.
B.
A population and a sample are not related.
C.
A population is a group of samples that may or may not be included in a study
D.
A sample is a group of subjects selected from a population to be studied.
Reset Selection
Question 4 of 20
1.0 Points
A histogram that has a single peak and looks approximately the same to the left and right of the peak is called:
A.
bimodal
B.
symmetric
C.
proportional
D.
balanced
Reset Selection
Question 5 of 20
1.0 Points
Which of the following statements is true for the following data values: 7, 5, 6, 4, 7, 8, and 12?
A.
Only the mean and median are equal
B.
The mean, median and mode are all equal
C.
Only the median and mode are equal
D.
Only the mean and mode are equal
Reset Selection
Question 6 of 20
1.0 Points
If a variable has possible values –2, 6, and 17, then this variable is
A.
both a continuous and a discrete variable
B.
a discrete variable
C.
neither a continuous nor a discrete variable
D.
a continuous variable
Reset Selection
Question 7 of 20
1.0 Points
Which of the following statements is true regarding the data set 10, 10, 10, 10, and 10?
A.
The range is zero
B.
The standard deviation equals zero
C.
The interquartile range equals zero
D.
all of the above
Reset Selection
Question 8 of 20
1.0 Points
Gender and State are examples of which type of data?
A.
Discrete data
B.
Continuous data
C.
Categorical data
D.
Ordinal data
Reset Selection
Question 9 of 20
1.0 Points
If a value represents the 95th percentile, this means that
A.
95% of the time you will observe this value
B.
95% of all values are below this value
C.
95% of all values are above this value
D.
there is a 5% chance that this value is incorrect
Reset Selection
Question 10 of 20
1.0 Points
A scatter plot would be useful for
A.
Showing the trend of sales, over time, of five different brands of blank DVDs
B.
Showing the relationship between the sales of blank CDs and blank DVDs
C.
Showing the top selling brands of blank DVDs
D.
Showing the relative number of sales of four different brands of blank DVDs
Reset Selection
Question 11 of 20
1.0 Points
Which of the following indicates how many observations fall into various categories?
A.
The frequency table
B.
The tabulation scale
C.
The Likert scale
D.
The sample table
Reset .
Introduction to Statistics Part A - Outputs 1. A sa.docxmariuse18nolet
Introduction to Statistics
Part A - Outputs:
1. A sample of university employees had been assembled. An output
concerning their education is presented below. Study the output and
answer the following questions:
a. What is the mean, median and the standard deviation?
b. Firstly, what is the interquartile range, and secondly, how many education years has
the most educated employee?
c. what is the number of education years that 36% of the sample has that number of
education years or below it? Answer the same question for 83%.
d. Firstly, how many employees has 12 education years or less? Secondly, how many
employees have missing values in the variable education years?
Statistics
Highest Year of School Completed
1510
7
12.88
12.00
12
2.984
8.904
20
0
20
19455
9.00
12.00
12.00
12.00
15.00
16.00
Valid
Missing
N
Mean
Median
Mode
St d. Dev iation
Variance
Range
Minimum
Maxim um
Sum
10
25
36
50
75
83
Percentiles
2. Researcher which studies the field of eating disorders checked the
correlation between subjects body image ranking and the degree to
which they restrict food intake. Study the output and answer the
following questions:
Highest Year of School Completed
2 .1 .1 .1
5 .3 .3 .5
5 .3 .3 .8
6 .4 .4 1.2
12 .8 .8 2.0
25 1.6 1.7 3.6
68 4.5 4.5 8.1
56 3.7 3.7 11.9
73 4.8 4.8 16.7
85 5.6 5.6 22.3
461 30.4 30.5 52.8
130 8.6 8.6 61.5
175 11.5 11.6 73.0
73 4.8 4.8 77.9
194 12.8 12.8 90.7
43 2.8 2.8 93.6
45 3.0 3.0 96.6
22 1.5 1.5 98.0
30 2.0 2.0 100.0
1510 99.5 100.0
7 .5
1517 100.0
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Total
Valid
NAMissing
Total
Frequency Percent Valid Percent
Cumulat iv e
Percent
Correlati ons
1 .383**
.000
217 217
.383** 1
.000
217 217
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Body perception
Restriction of f ood
intake (f asting)
Body
perception
Restriction of
f ood intake
(f asting)
Correlation is signif icant at the 0.01 lev el (2-t ailed).**.
1. What can be inferred from the table?
a. There is a significant negative correlation between the variables.
b. There is a moderately negative correlation between the variables.
c. There is a moderately positive correlation between the variables.
d. There is a weak positive correlation between the variables.
2. Report the correlation.
3. The following output present a regression done in order to predict
the number of SMS messages a person sends to his\hers partner by the
length of the relationship (in years). Study the output and answer the
following questions:
Regression
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 -.661(a) .436 .435 123.540
a Predictors: (Constant), Duration of relationship (years)
ANOVA(b)
.
The document provides a statistical profile and cluster analysis of customers for Acme Company. It analyzes customers across various demographic variables like age, income, occupation, household type, and interests. Four key customer clusters are identified that differ in characteristics like income, education, and other attributes. The analysis aims to develop targeted marketing recommendations for Acme based on which customer segments are most likely to respond.
This document analyzes factors influencing voter opinion of David Cameron and support for the Conservative party in the 2015 British general election using statistical tests on individual and aggregate data. It finds that working class voters were less likely to trust Cameron than middle class voters, and those unaffiliated with a class were most trusting. Interest in politics positively correlated with feelings toward Cameron. Liberal Democrat voters liked Cameron more despite the failed coalition. A regression model found a small positive correlation between voter age and feelings toward Cameron. Analyses of aggregated constituency data found unemployment negatively correlated with Conservative vote share, and a regression model explained Conservative vote share in relation to retiree rates, homeownership rates, and social class distributions.
The document discusses descriptive statistics performed on survey data from the Brian Lamb School of Communication. It analyzes variables like respondent gender, age, grade level, and perceptions of majoring in communication. Across several tables and analyses, it finds that as respondent age and grade level increase, their perceptions of ease of finding a job, job income potential, and importance of major also increase. The last analysis shows median perceptions remain consistent while multiple modes exist for perceptions of major difficulty. More evaluation is needed to understand the multiple modes.
A study of graduate & post graduate students regarding their career plansVaibhav Vaidya
Its a study done about career plans of students.
To study the trend of higher education.
Google form was made for collection of data and was shared with different field of students
Exam 1 (covers Chapters 1-7)Math 140Show all work! Na.docxSANSKAR20
Exam 1 (covers Chapters 1-7)
Math 140
Show all work! Name:______________________________
Seat number:____________________________
Papers without name and/or seating number will loose 10 points of total possible. Write your complete name and seat number now. Each problem or part has 5 points.
1) Because elderly people may have difficulty standing to have their heights measured, a study looked at predicting overall height from height to the knee. Here are data (in centimeters) for six elderly
Knee height x
57.6
46.4
43.5
44.8
52.2
54.6
Height y
192.1
152.3
146.4
162.7
174.1
177.8
Use your calculator: The correlation between knee height and overall height is about
(a) r =0.08. (b) r =0.89. (c) r =0.74 (d) none of the above
2) The National Association of College and University Business Officers collects data on college endowments. In 2011, 834 colleges and universities reported the value of their endowments. When the endowment values are arranged in order, what are the locations of the median and the quartiles in this ordered list?
Select the correct statement: If a distribution is skewed to the left,
(a) the mean is less than the median.
(b) the mean and median are equal.
(c) the mean is greater than the median.
(d) none of the above
3) A recent study found that consuming more fast food, candy and soda was not correlated with higher body mass index (BMI). This indicates that:
(a) People with higher BMIs tend to consume more fast food than people with lower BMIs
(b) People with higher BMIs tend to consume less fast food than people with lower BMIs
(c) The more fast food a person tends to consume, the higher their BMI tends to be
(d) The more fast food a person tends to consume, the lower their BMI tends to be
(e) None of the above
Use these data for the next two problems: In a usual way to study the brain’s response to sounds is to have subjects listen to pure tones. They fed pure tone and also monkey calls directly to their brains by inserting electrodes.
neuron
1
2
3
4
5
6
7
8
9
10
11
12
tone
474
256
241
226
185
174
176
168
161
150
19
20
call
500
138
485
338
194
159
341
85
303
208
66
54
neuron
13
14
15
16
17
18
19
20
tone
35
145
141
129
113
112
102
100
call
103
42
241
194
123
182
141
118
4) We might expect some neurons to have strong responses to any stimulus and others to have consistently weak responses. There would then be a strong relationship between tone response and call response. From the scatterplot of monkey call response against pure-tone response what would you estimate the correlation r to be?
(a) -0.6 (b) -0.1 (c) 0.1 (d) 0.6
5) Which of the following statements about the scatterplot given above is correct?
(a) There is moderate evidence that pure-tone response cause monkey call response.
(b) There is moderate evidence that monkey call response cause pure-tone response.
(c) There are one or two outliers, and at least one of these may also be influential.
(d) None of the ab ...
The document discusses a study examining the impact of service performance factors like reliability, responsiveness, assurance, empathy and tangibles on customer perception of coaching institutes for MBA programs. It aims to analyze the effect of demographics on the relationship between service performance and customer perception. The study tests hypotheses about the independence of service performance factors and customer perception from demographic variables like age, gender, income level, education and work experience. It involves collecting data through a survey, analyzing the data using descriptive analysis, correlation analysis and regression analysis and reporting the results.
STAT225 Introduction to Statistics in the Behavioral Sciences.docxdessiechisomjj4
STAT225: Introduction to Statistics in the Behavioral Sciences
1. In a school election, five people run for student body president. The actual number of votes for each candidate would be a(n) variable. If the total number of votes were removed and the candidates were listed in order of least to most popular, this would be a(n)
variable.
a. ratio; ordinal b. ordinal; ratio c. ratio; nominal
d. nominal; ordinal
2. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the explanatory/independent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
3. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the response/dependent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
Please use the following information to answer questions 4 through 9
An industrial psychologist at a company has heard that desk bikes could help employees to lose weight, increase their stamina, and improve productivity. Sixteen employees were provided with desk bikes and the total number of pounds they lost, after one month, was recorded. Here are the data, in pounds lost, per employee:
4
8
12
0
2
20
18
0
12
6
12
16
10
8
12
4
4. What is the range of this distribution?
a. 0 t o 20 b. 20
c. 18 d. 4
5. What is the mean number of pounds that were lost by the employees in one month?
a.
9.88
b.
10.4
c.
12
d.
9
6. What is the median number of pounds that were lost by the employees in one month?
a.
8
b.
9
c.
10
d.
11
7. What is the variance of the number of pounds that were lost by the employees in one month?
a.
37.33
b.
9.72
c.
9.85
d.
6.11
8. What is the Interquartile range for this distribution?
a.
4
b.
8
c.
9
d.
12
9. How many outliers are in this distribution?
a. 0 b. 1
c. 2
d. Unable to determine from this information
The following graph depicts the typical relationship found between physiological arousal (anxiety) levels (e.g., range from 0 = no anxiety to 10=extreme anxiety) and test performance (e.g., percentage of correct answers on test).
Please use the following information to answer questions 10 and 11.
100%
Test Performance (in Percentage)
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Relationship Between Physiological Arousal Level and Test
Performance
0 2 4 6 8 10
Physiological Arousal Level
10. Based on this graph, what type of relation exists between physiological arousal level and test performanc.
The analysis of the data has been done using excel statistical sof.docxmattinsonjanel
The analysis of the data has been done using excel statistical software. First, the demand and popularity of each product has been analyzed using pie charts. The extracts from excel shows the distributions of the three product lines across age, sex and education. The three types of bicycles have analyzed in terms of the number of customers using them, sex, and education levels.
The low product line has the highest demand as 80 customers selected, followed by middle product line with 61 customers and finally upper product line. The following extracts shows the demand of the three bicycles on the basis of number of customers, sex, and education.
Analyzing the popularity and demand for three bicycles using sex showed that males have a higher proportion of using bicycles than females. This is show in the following extract and chart.
Also, the level of education determines the use of bicycles. The demand for bicycles varies across the different levels of education. The analysis revealed that non-college high school diploma do not use bicycles. The following pie chart shows the proportion of each education level with respect to the use of bicycles.
Education
Number of Customers
Percentage
Non-High School Diploma
0
0%
High School Diploma
2
1%
Some-College -level work
67
37%
College Degree
97
54%
Graduate Degree at work
14
8%
However, the use of the three products line varied greatly with the age of customers. The following frequency distribution table shows the age group of customers and the frequency of using the three products line.
Bin
Frequency
Cumulative %
Bin
Frequency
Cumulative %
20
10
5.56%
25
62
34.44%
25
62
40.00%
30
45
59.44%
30
45
65.00%
35
32
77.22%
35
32
82.78%
40
16
86.11%
40
16
91.67%
20
10
91.67%
45
8
96.11%
45
8
96.11%
50
7
100.00%
50
7
100.00%
More
0
100.00%
More
0
100.00%
As it can be seen from the histogram, the distribution of age of customers and the frequency on uses of bikes is negatively skewed. That is, at early ages, customers use bicycles more than old ages. At age group 20-25, the demand of bicycles is high and it decreases as age increases. The mean age, median age, mode of an average customer is showed in the following table. The table also shows the average income that most customers receive,
Mean Age
28.98889
Mode Age
25
Median Age
27
Average Income
35672.22
Median Income
34000
More analysis have been done on individual products lines in order to determine the mean age of a customer at a given product line; average salary, average miles/ week, average times/ week among other analysis. The following discussion focuses on each of the three product lines.
a) Lower Product Line.
The following analysis shows the profile of an average customer who chooses to by Low Product Line.
Mean Age
28.6
Sex
Males
55%
Females
45%
Status
Single:
36%
Married.
64%
Mean Salary
30700
Average Miles
88
Average Time/week
3.01 ...
This document discusses the importance of monitoring and measurement in public relations and communications. It provides an overview of Katie Delahaye Paine's company, Paine Publishing, which helps communications professionals define and measure success. It discusses the need to move beyond traditional metrics like impressions and earned media value to more meaningful metrics that measure outcomes and impact on business goals. It outlines industry standards and principles for social media measurement developed by the Barcelona Principles project. Finally, it provides a case study of how the Atlantic City Alliance used monitoring and metrics to improve the tone and quality of media coverage about Atlantic City and correlate that coverage with increases in website traffic and changes in public perceptions.
In this webinar, NewMR Founder Ray Poynter discusses how to look for patterns in research data, as part of his wider 'Finding and Communicating the Story' series.
View the recording via NewMR.org
This document describes a survey conducted by students on understanding of colon cancer between male and female students. It includes an introduction outlining the survey's purpose to compare understanding between genders, as well as sections on objectives, methodology, survey results, analysis of the results, and a conclusion. The methodology section describes how the students distributed and collected 100 surveys each from male and female students. The results and analysis sections present the responses to each survey question in percentages and compare the understanding between genders.
This document summarizes a survey conducted by students on understanding of colon cancer between male and female students. The survey included 21 multiple choice questions distributed to 100 male and 100 female students. The responses were analyzed and percentages of each answer were calculated. Overall, the analysis found that female students displayed a higher level of understanding about colon cancer than male students on most questions.
Magellan Strategies 2012 Internal Survey Research Summary Memorandum 120612Magellan Strategies
This memorandum is a full review of Magellan Strategies surveys from the 2012 election cycle. The memorandum goes into detail about the challenges of survey research for the cycle, and how well Magellan Strategies research held up to the final outcome.
The document provides demographic information about a sample of 2008 cinema industry workers in India. A majority were male (89.7%) and from Tamil Nadu (85.2%). Most had low levels of education, with 33.8% completing schooling and only 6.2% attending college. 72.6% had migrated from other places for work. Chi-square tests found several significant differences between male and female workers, such as reasons for migration, union membership rates, and rates of sexual exploitation.
- The documents provide data from surveys about income, entertainment preferences, opinions of the LA Clippers basketball team, and demographics of respondents.
- Crosstabulations analyze relationships between different survey questions and categories of responses, showing counts and percentages.
- The data appears to come from a case study or market research with 50 respondents on their behaviors and attitudes.
We are turning more and more “work” over to computers. However, this comes with a lot of responsibility. As we automate work, the impact of bad policies and decisions grows exponentially. We need to be vigilant to make sure that our work produces accurate results using sound research methods.
We need to remember that the process of research is as important as the results. It is easy to forsake methodology, as Big Data distances researchers from the research process, and puts the focus on data collection, storage, and processing. However, practicing solid methods is the best way to produce accurate results. During this presentation we will explore important research topics. For example we will explore the exponential increase in noise — spurious relationships — as the number of variables increase and time horizons narrow. We will also cover ways to detect and prevent spurious relationships in a Big Data context.
1. Index
Individual Dataset
- Fig. 1a: Descriptives of four chosen variables
- Fig. 2a: HistogramshowingFeelings/Likeof David Cameron
- Fig. 3a: Histogramshowingtrust of David Cameron
- Fig. 4a: Crosstabulation of thoseidentifyingwith a social classby ratingof David Cameron as ‘untrustworthy’
- Fig. 5a: Crosstabulation of thoseidentifyingwith a social classby ratingof David Cameron as ‘trustworthy’
- Fig. 6a: Crosstabulation of thoseidentifyingwith a social classby ratingof David Cameron as ‘average’
- Fig. 7a: Measures of association between social classand ‘trust’of David Cameron
- Fig. 8a: Comparingthe means between male and female satisfaction with Conservativeeducation policy
- Fig. 9a: Independent Samples T-Test for maleversus female satisfaction with Conservativeeducation policy
- Fig. 10a:Comparing the means between maleand female satisfaction with Conservativehealth policy
- Fig. 11a:Independent Samples T-Test for male versus female satisfaction with Conservativehealth policy
- Fig. 12a:Comparing mean agreement that Conservatives managed the economy most poorly over time
- Fig. 13a:Paired Samples T-Test comparingmean agreement that Conservatives managed the economy most poorly over
time
- Fig. 14a:Levene’s Test of Homogeneity of Variances between interest in politicsand feelings/likeof David Cameron
- Fig. 15a:Tests of Normality of distribution between interest in politicsand feelings/likeof David Cameron
- Fig. 16a:ANOVA between interest in politics and feelings/likeof David Cameron
- Fig. 17a:MultipleComparisons between interest in politicsand feelings/likeof David Cameron
- Fig. 18a:Means plot comparinginterest in politicsand feelings/likeof David Cameron
- Fig. 19a:Contrast Coefficients for Labour, Liberal Democrat, and other identifiers
- Fig. 20a:Descriptives for mean feelings/likeof David Cameron between Labour, Liberal Democrat, and other identifiers
- Fig. 21a:Contrast Tests between Labour and Liberal Democrat identifier feelings/likeof David Cameron
- Fig. 22a:Model Summary for regression between Age and Feelings/Like of David Cameron
- Fig. 23a:ANOVA between Age and Feelings/Likeof David Cameron
- Fig. 24a:Coefficients between Age and Feelings/Like of David Cameron
- Fig. 25a:Scatterplot showingrelationship between Age and Feelings/Like of David Cameron
- Fig. 26a:Residuals Statisticsfor regression between Age and Feelings/Likeof David Cameron
- Fig. 27a:Scatterplot to test for homeoscedasticity usingstandardized predicted valueand standardized residual
- Fig. 28a:Scatterplot to test for homeoscedasticity usingstandardized residuals and feelings/likeof David Cameron
Aggregate Dataset
- Fig. 1b: Descriptives of four chosen variables
- Fig. 2b: Scatter plotshowingcorrelation between unemployment and % vote received
- Fig. 3b: Partial correlation between unemployment and % vote received
- Fig. 4b: Model Summary for regression between multiplepredictors and Conservative% vote share
- Fig. 5b: ANOVA between multiplepredictors and Conservative% vote share
- Fig. 6b: Coefficients of multiplepredictors and Conservativevote share
- Fig. 7b: Residuals Statisticsfor regression between multiplepredictors and Conservative% vote share
- Fig. 8b: Normal P-P Plotof Regression Standardized Residual
- Fig. 9b: Collinearity Diagnosticsfor regression between multiplepredictors and Conservative% vote share
- Fig. 10b: Scatterplot to test for homeoscedasticity usingstandardized predicted values and standardized residual
- Fig. 11b: Partial regression plotto test for heteroscedasticity
2. Individual Dataset
Fig. 1a: Descriptives of four chosen variables
Age Trust-David Cameron Feelings/Like David Cameron R Belong Social Class
N Valid 514 502 494 514
Missing 0 12 20 0
Mean 52.82 5.3287 5.0081 2.2529
Median 52.00 5.0000 5.0000 2.0000
Mode 52 5.00 5.00 3.00
Std. Deviation 17.872 2.55274 2.53973 .92519
Skewness .064 -.429 -.267 -.656
Std. Error of Skewness .108 .109 .110 .108
Kurtosis -.885 -.423 -.642 1.456
Std. Error of Kurtosis .215 .218 .219 .215
3. Fig. 5a: Crosstabulation of those identifying with a social class by rating of David Cameron as 'trustworthy'
Trustworthy
Total.00 1.00
Fig 4a: Crosstabulation of those identifying with a social class by rating of David Cameron as 'untrustworthy'
Untrustworthy
Total.00 1.00
R Belong
Social Class
Refused Count 1 0 1
Expected Count .7 .3 1.0
% within R Belong Social Class
100.0% 0.0% 100.0%
% within Untrustworthy 0.3% 0.0% 0.2%
Don't Know Count 5 1 6
Expected Count 4.1 1.9 6.0
% within R Belong Social Class 83.3% 16.7% 100.0%
% within Untrustworthy 1.4% 0.6% 1.2%
Yes middle class Count 76 29 105
Expected Count 71.9 33.1 105.0
% within R Belong Social Class 72.4% 27.6% 100.0%
% within Untrustworthy 21.6% 17.9% 20.4%
Yes working class Count 90 70 160
Expected Count 109.6 50.4 160.0
% within R Belong Social Class 56.3% 43.8% 100.0%
% within Untrustworthy 25.6% 43.2% 31.1%
No Count 174 58 232
Expected Count 158.9 73.1 232.0
% within R Belong Social Class 75.0% 25.0% 100.0%
% within Untrustworthy 49.4% 35.8% 45.1%
Lower middle
class
Count 4 1 5
Expected Count 3.4 1.6 5.0
% within R Belong Social Class 80.0% 20.0% 100.0%
% within Untrustworthy 1.1% 0.6% 1.0%
Other Count 2 3 5
Expected Count 3.4 1.6 5.0
% within R Belong Social Class 40.0% 60.0% 100.0%
% within Untrustworthy 0.6% 1.9% 1.0%
Total Count 352 162 514
Expected Count 352.0 162.0 514.0
% within R Belong Social Class 68.5% 31.5% 100.0%
% within Untrustworthy
100.0% 100.0% 100.0%
4. R Belong Social
Class
Refused Count 0 1 1
Expected Count .5 .5 1.0
% within R Belong Social Class
0.0% 100.0% 100.0%
% within Trustworthy 0.0% 0.4% 0.2%
Don't Know Count 4 2 6
Expected Count 3.1 2.9 6.0
% within R Belong Social Class
66.7% 33.3% 100.0%
% within Trustworthy 1.5% 0.8% 1.2%
Yes middle class Count 41 64 105
Expected Count 54.3 50.7 105.0
% within R Belong Social Class
39.0% 61.0% 100.0%
% within Trustworthy 15.4% 25.8% 20.4%
Yes working class Count 103 57 160
Expected Count 82.8 77.2 160.0
% within R Belong Social Class
64.4% 35.6% 100.0%
% within Trustworthy 38.7% 23.0% 31.1%
No Count 112 120 232
Expected Count 120.1 111.9 232.0
% within R Belong Social Class
48.3% 51.7% 100.0%
% within Trustworthy 42.1% 48.4% 45.1%
Lower middle class Count 2 3 5
Expected Count 2.6 2.4 5.0
% within R Belong Social Class
40.0% 60.0% 100.0%
% within Trustworthy 0.8% 1.2% 1.0%
Other Count 4 1 5
Expected Count 2.6 2.4 5.0
% within R Belong Social Class
80.0% 20.0% 100.0%
% within Trustworthy 1.5% 0.4% 1.0%
Total Count 266 248 514
Expected Count 266.0 248.0 514.0
% within R Belong Social Class 51.8% 48.2% 100.0%
% within Trustworthy 100.0% 100.0% 100.0%
Fig. 6a: Crosstabulation of those identifying with a social class by rating of David Cameron as 'average'
Average Total
5. .00 1.00
R Belong Social
Class
Refused Count 1 0 1
Expected Count .8 .2 1.0
% within R Belong Social Class 100.0% 0.0% 100.0%
% within Average 0.2% 0.0% 0.2%
Don't Know Count 4 2 6
Expected Count 4.9 1.1 6.0
% within R Belong Social Class 66.7% 33.3% 100.0%
% within Average 0.9% 2.2% 1.2%
Yes middle class Count 94 11 105
Expected Count 86.2 18.8 105.0
% within R Belong Social Class 89.5% 10.5% 100.0%
% within Average 22.3% 12.0% 20.4%
Yes working class Count 132 28 160
Expected Count 131.4 28.6 160.0
% within R Belong Social Class 82.5% 17.5% 100.0%
% within Average 31.3% 30.4% 31.1%
No Count 183 49 232
Expected Count 190.5 41.5 232.0
% within R Belong Social Class 78.9% 21.1% 100.0%
% within Average 43.4% 53.3% 45.1%
Lower middle class Count 4 1 5
Expected Count 4.1 .9 5.0
% within R Belong Social Class 80.0% 20.0% 100.0%
% within Average 0.9% 1.1% 1.0%
Other Count 4 1 5
Expected Count 4.1 .9 5.0
% within R Belong Social Class 80.0% 20.0% 100.0%
% within Average 0.9% 1.1% 1.0%
Total Count 422 92 514
Expected Count 422.0 92.0 514.0
% within R Belong Social Class 82.1% 17.9% 100.0%
% within Average 100.0% 100.0% 100.0%
6. Fig. 7a: Measures of association between social class and 'trust' of David Cameron
Value Approx. Sig.
Nominal byNominal Phi .404 .031
Cramer's V .165 .031
N of Valid Cases 502
Fig. 8a: Comparing the means between male and female satisfaction with Conservative
education policy
Gender N Mean Std. Deviation Std. Error Mean
% Satisfaction with
Conservative Education
Policy (Scores)
Male 238 19.6181 7.93351 .51425
Female
276 19.3321 8.13242 .48951
Fig. 9a: Independent Samples T-Test for male versus female satisfaction with Conservative education policy
Levene's Test
for Equality of
Variances t-test for Equality of Means
F Sig. t df
Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower Upper
% Satisfaction with
Conservative
Education Policy
(Scores)
Equal
variances
assumed
.029 .866 .402 512 .688 .28602 .71129 -1.11139 1.68342
Equal
variances not
assumed
.403 504.269 .687 .28602 .70999 -1.10888 1.68091
7. Fig. 10a: Comparing the means between male and female satisfaction with Conservative health
policy
Gender N Mean Std. Deviation Std. Error Mean
% Satisfaction with
Conservative Health Policy
(Scores)
Male 238 59.4315 4.45875 .28902
Female
276 59.1093 4.97404 .29940
Fig. 11a: Independent Samples T-Test for male versus female satisfaction with Conservative health policy
Levene's Test
for Equality of
Variances t-test for Equality of Means
F Sig. t df
Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower Upper
% Satisfaction with
Conservative Health
Policy (Scores)
Equal
variances
assumed
.718 .397 .768 512 .443 .32218 .41951 -.50199 1.14636
Equal
variances not
assumed
.774 511.221 .439 .32218 .41614 -.49537 1.13974
Fig. 12a: Comparing mean agreement that Conservatives managed the economy most poorly
over time
Mean N Std. Deviation Std. Error Mean
Pair 1 % Rating Conservative
Worse Job on the Economy
Time 1
29.966 514 19.9942 .8819
% Rating Conservative
Worse Job on the Economy
Time 2
19.428 514 14.4217 .6361
8. Fig. 13a: Paired Samples T-Test comparing mean agreement that Conservatives managed the economy most poorly over
time
Paired Differences
t df
Sig. (2-
tailed)Mean
Std.
Deviation
Std.
Error
Mean
95% Confidence
Interval of the
Difference
Lower Upper
Pair
1
% Rating Conservative Worse Job on the
EconomyTime 1 - % Rating Conservative
Worse Job on the Economy Time 2
10.5378 31.4509 1.3872 7.8125 13.2632 7.596 513 .000
Fig. 14a: Levene's Test of Homogeneity of
Variances between interest in politics and
feelings/like of David Cameron
Feelings/Like David Cameron
Levene Statistic df1 df2 Sig.
1.613 4 489 .170
Fig. 15a: Tests of Normality of distribution between interest in politics and feelings/like of David Cameron
Interestin Politics
Kolmogorov-Smirnova
Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Feelings/Like David Cameron A great deal .111 63 .051 .950 63 .012
Quite a lot .148 187 .000 .964 187 .000
Some .144 153 .000 .962 153 .000
Not very much .122 73 .009 .967 73 .050
None at all .310 18 .000 .725 18 .000
a. Lilliefors Significance Correction
Fig. 16a: ANOVA between interest in politics and feelings/like of David Cameron
Feelings/Like David Cameron
Sum of Squares df Mean Square F Sig.
Between Groups 221.321 4 55.330 9.145 .000
Within Groups 2958.647 489 6.050
Total 3179.968 493
9. Fig. 18a: Means plot comparing interest in politics and feelings/like of David Cameron
Fig. 17a: Multiple Comparisons between interest in politics and feelings/like of David Cameron
DependentVariable: Feelings/Like David Cameron
Scheffe
(I) Interestin Politics (J) Interest in Politics
Mean Difference
(I-J) Std. Error Sig.
95% Confidence Interval
Lower Bound Upper Bound
A great deal Quite a lot -.21178 .35832 .986 -1.3197 .8962
Some .52381 .36822 .731 -.6147 1.6623
Not very much .64405 .42299 .678 -.6638 1.9520
None at all 3.19048*
.65740 .000 1.1578 5.2232
Quite a lot A great deal .21178 .35832 .986 -.8962 1.3197
Some .73559 .26814 .112 -.0935 1.5647
Not very much .85583 .33947 .176 -.1938 1.9055
None at all 3.40226*
.60703 .000 1.5253 5.2792
Some A great deal -.52381 .36822 .731 -1.6623 .6147
Quite a lot -.73559 .26814 .112 -1.5647 .0935
Not very much .12024 .34990 .998 -.9616 1.2021
None at all 2.66667*
.61293 .001 .7715 4.5619
Not very much A great deal -.64405 .42299 .678 -1.9520 .6638
Quite a lot -.85583 .33947 .176 -1.9055 .1938
Some -.12024 .34990 .998 -1.2021 .9616
None at all 2.54642*
.64731 .004 .5449 4.5479
None at all A great deal -3.19048*
.65740 .000 -5.2232 -1.1578
Quite a lot -3.40226*
.60703 .000 -5.2792 -1.5253
Some -2.66667*
.61293 .001 -4.5619 -.7715
Not very much -2.54642*
.64731 .004 -4.5479 -.5449
*. The mean difference is significantatthe 0.05 level.
10. Fig. 19a: Contrast Coefficients for Labour,
Liberal Democrat, and other identifiers
Contrast
PartyID
-1.00 .00 1.00
1 -1 0 1
Fig. 20a: Descriptives for mean feelings/like of David Cameron between Labour, Liberal Democrat, and other identifiers
Feelings/Like David Cameron
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
Minimum MaximumLower Bound Upper Bound
-1.00 155 3.5806 2.27884 .18304 3.2190 3.9422 .00 8.00
.00 268 5.8134 2.46068 .15031 5.5175 6.1094 .00 10.00
1.00 71 5.0845 1.97662 .23458 4.6166 5.5524 .00 9.00
Total 494 5.0081 2.53973 .11427 4.7836 5.2326 .00 10.00
Fig. 21a: Contrast Tests between Labour and Liberal Democrat identifier feelings/like of David Cameron
11. Fig. 22a: Model Summary for regression between Age and Feelings/Like of David Cameronb
Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
1 .128a
.016 .014 2.52144 1.891
a. Predictors:(Constant),Age
b. DependentVariable:Feelings/Like David Cameron
Contrast
Value of
Contrast
Std.
Error t df
Sig. (2-
tailed)
Feelings/Like David
Cameron
Assume equal variances 1 1.5039 .33542 4.484 491 .000
Does notassume equal
variances
1
1.5039 .29754 5.054 155.060 .000
Fig. 23a: ANOVA between Age and Feelings/Like of David Camerona
Model Sum of Squares df Mean Square F Sig.
1 Regression 51.998 1 51.998 8.179 .004b
Residual 3127.970 492 6.358
Total 3179.968 493
a. DependentVariable:Feelings/Like David Cameron
b. Predictors:(Constant),Age
Fig. 24a: Coefficients between Age and Feelings/Like of David Camerona
Model
Unstandardized Coefficients Standardized Coefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 4.049 .354 11.432 .000
Age .018 .006 .128 2.860 .004 1.000 1.000
a. DependentVariable:Feelings/Like David Cameron
12. Fig. 26a: Residuals Statistics for regression between Age and Feelings/Like of David Camerona
Minimum Maximum Mean Std. Deviation N
Predicted Value 4.3755 5.8100 5.0081 .32476 494
Std. Predicted Value -1.948 2.469 .000 1.000 494
Standard Error of Predicted Value .113 .302 .156 .039 494
Adjusted Predicted Value 4.3786 5.7926 5.0084 .32509 494
Residual -5.68288 5.38843 .00000 2.51888 494
Std. Residual -2.254 2.137 .000 .999 494
Stud. Residual -2.266 2.142 .000 1.001 494
Deleted Residual -5.74481 5.41577 -.00033 2.52905 494
Stud. Deleted Residual -2.276 2.150 .000 1.002 494
Mahal. Distance .000 6.097 .998 1.046 494
Cook's Distance .000 .028 .002 .003 494
Centered Leverage Value .000 .012 .002 .002 494
a. DependentVariable:Feelings/Like David Cameron
Fig. 25a: Scatterplot showing relationship between Age and Feelings/Like of David Cameron
13. Fig. 27a: Scatterplot to test for homeoscedasticity using standardized predicted value and standardized residual
Fig. 28a: Scatterplot to test for homeoscedasticity using standardized residuals and feelings/like of David Cameron
14. Aggregate Dataset
Fig. 4b: Model Summary for regression between multiple predictors and Conservative % vote shareb
Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
1 .741a .549 .547 9.77973 1.575
a. Predictors:(Constant),% Higher Managers + % Professionals Class,% Home ownership,% Retired
b. DependentVariable:Conservative % 2015 election
Fig. 1b: Descriptives of four chosen variables
% Retired Conservative % 2015 election % Home ownership % Unemployment
N Valid 630 630 630 630
Missing 0 0 0 0
Mean 13.7987 35.7251 68.1473 3.3992
Median 13.9697 37.5180 70.5652 3.2112
Std. Deviation 2.78766 14.53243 11.07807 1.28230
Skewness -.026 -.277 -1.341 .854
Std. Error of Skewness .097 .097 .097 .097
Kurtosis .825 -1.022 2.256 .597
Std. Error of Kurtosis .194 .194 .194 .194
Fig. 5b: ANOVA between multiple predictors and Conservative % vote sharea
Model Sum of Squares df Mean Square F Sig.
1 Regression 72966.838 3 24322.279 254.303 .000b
Residual 59872.563 626 95.643
Total 132839.400 629
a. DependentVariable:Conservative % 2015 election
b. Predictors:(Constant),% Higher Managers + % Professionals Class,% Home ownership,% Retired
15. Fig. 3b: Partial correlation between unemployment and % vote received
Control Variables
%
Unemployment
Conservative %
2015 election
% Conservatives spent
on their campaign
during the general
election
-none-a
% Unemployment Correlation 1.000 -.717 -.294
Significance (2-tailed) . .000 .000
df 0 628 628
Conservative % 2015
election
Correlation -.717 1.000 .470
Significance (2-tailed) .000 . .000
df 628 0 628
% Conservatives spent
on their campaign during
the general election
Correlation -.294 .470 1.000
Significance (2-tailed) .000 .000 .
df 628 628 0
% Conservatives spent
on their campaign during
the general election
% Unemployment Correlation 1.000 -.686
Significance (2-tailed) . .000
df 0 627
Conservative % 2015
election
Correlation -.686 1.000
Significance (2-tailed) .000 .
df 627 0
a. Cells contain zero-order (Pearson) correlations.
Fig. 6b: Coefficients of multiple predictors and Conservative vote sharea
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Correlations
Collinearity
Statistics
B Std. Error Beta
Zero-
order Partial Part Tolerance VIF
1 (Constant)
-35.719 2.833
-
12.607
.000
% Retired 1.116 .203 .214 5.508 .000 .262 .215 .148 .477 2.098
% Home ownership .580 .047 .442 12.417 .000 .601 .445 .333 .567 1.764
% Higher Managers + %
Professionals Class
2.021 .128 .505 15.772 .000 .450 .533 .423 .702 1.426
a. DependentVariable:Conservative % 2015 election
16. Fig. 7b: Residuals Statistics for regression between multiple predictors and Conservative % vote sharea
Minimum Maximum Mean Std. Deviation N
Predicted Value 1.2168 60.2750 35.7251 10.77054 630
Std. Predicted Value -3.204 2.279 .000 1.000 630
Standard Error of Predicted Value .392 2.030 .735 .259 630
Adjusted Predicted Value 1.0070 60.2704 35.7233 10.78120 630
Residual -41.06156 23.20147 .00000 9.75638 630
Std. Residual -4.199 2.372 .000 .998 630
Stud. Residual -4.215 2.375 .000 1.001 630
Deleted Residual -41.37898 23.25517 .00178 9.81701 630
Stud. Deleted Residual -4.273 2.384 .000 1.003 630
Mahal. Distance .011 26.108 2.995 3.425 630
Cook's Distance .000 .041 .002 .003 630
Centered Leverage Value .000 .042 .005 .005 630
a. DependentVariable:Conservative % 2015 election
Fig. 9b: Collinearity Diagnostics for regression between multiple predictors and Conservative % vote sharea
Model Dimension Eigenvalue
Condition
Index
Variance Proportions
(Constant)
%
Retired
% Home
ownership
% Higher Managers + % Professionals
Class
1 1 3.820 1.000 .00 .00 .00 .01
2 .157 4.934 .00 .03 .00 .54
3 .014 16.706 .99 .16 .15 .15
4 .010 19.931 .00 .81 .84 .31
a. DependentVariable:Conservative % 2015 election