The document discusses analyzing healthcare statistics from multiple datasets. It involves taking random samples from datasets and calculating mean values for infant mortality rates. It also involves creating frequency distributions, tables, and different types of charts to visualize data on hospital charges, age, and reasons for late meal delivery.
Making Big Data relevant: Importance of Data Visualization and AnalyticsGramener
This document discusses the importance of data visualization and analytics for making big data relevant. It provides examples of how visualizing data through simple charts and graphs can help identify patterns and insights more quickly than just viewing raw numbers. Effective data visualization and analytics helps different levels of an organization consume and understand data in order to make informed decisions.
This document provides an overview of visualizing data and discusses the benefits of data visualization. It begins with introducing the challenges of understanding data through questions and numeric tables. Adding some basic visual elements like highlighting and separating the tables helps improve understanding. However, looking more closely reveals the numbers from different locations behave quite differently, though they appear identical at first glance. This shows how visualizing data can help reveal patterns and insights that are not obvious from numbers alone. Further examples demonstrate how visualization techniques like maps and charts help make comparisons clearer and identify trends over time or based on other factors. The document argues visualization is an important tool for truly understanding and analyzing data rather than just presenting summary statistics.
This document contains tables of critical values for various statistical tests including the z-distribution, t-distribution, chi-square distribution, and F-distribution. The z-distribution table lists critical values for the z-test across different levels of significance. Similarly, the other tables provide critical values for t-tests, chi-square tests, ANOVA, and other statistical analyses across different degrees of freedom and significance levels.
This document discusses organizing and displaying data through tables, graphs, and numerical methods. It provides examples of categorical and grouped frequency distributions. A categorical distribution places data into categories, like blood type. A grouped distribution divides a continuous variable into class intervals and counts the frequency of observations within each interval, like systolic blood pressure ranges. The document demonstrates how to construct both types of frequency tables to summarize large datasets.
The document presents a data visualization challenge that asks the user 3 questions about a dataset within time limits, then repeats the challenge with simple visual cues to answer more quickly. It demonstrates how visualizing data can help identify patterns and insights more easily and quickly than just looking at the raw numbers. Visualizing data allows for consistent interpretation and conclusions to be drawn from the same dataset.
2021 Q1 Report per Municipality Antique FHSIS.pdfJoenel6
This document provides maternal health data for 18 municipalities in Antique Province, Philippines in 2021. It includes statistics on teenage pregnancy rates, number of pregnant women seen, prenatal visit completion rates, nutritional status of pregnant women, and tetanus vaccination rates. The province had a total of 10,036 pregnant women seen in 2021, with a teenage pregnancy rate of 11.74% among the total population of pregnant women. 39.78% of pregnant women province-wide completed 4 or more prenatal visits.
The document ranks 145 countries based on their health grade and total health score according to factors like life expectancy, causes of death, and health risks. Singapore ranked as the healthiest country with a health grade of 89.45% and a total health score of 92.52%. The rankings also break down the healthiest countries by region, with Canada, Italy, Singapore, and Israel among the highest ranked countries for their respective regions.
Making Big Data relevant: Importance of Data Visualization and AnalyticsGramener
This document discusses the importance of data visualization and analytics for making big data relevant. It provides examples of how visualizing data through simple charts and graphs can help identify patterns and insights more quickly than just viewing raw numbers. Effective data visualization and analytics helps different levels of an organization consume and understand data in order to make informed decisions.
This document provides an overview of visualizing data and discusses the benefits of data visualization. It begins with introducing the challenges of understanding data through questions and numeric tables. Adding some basic visual elements like highlighting and separating the tables helps improve understanding. However, looking more closely reveals the numbers from different locations behave quite differently, though they appear identical at first glance. This shows how visualizing data can help reveal patterns and insights that are not obvious from numbers alone. Further examples demonstrate how visualization techniques like maps and charts help make comparisons clearer and identify trends over time or based on other factors. The document argues visualization is an important tool for truly understanding and analyzing data rather than just presenting summary statistics.
This document contains tables of critical values for various statistical tests including the z-distribution, t-distribution, chi-square distribution, and F-distribution. The z-distribution table lists critical values for the z-test across different levels of significance. Similarly, the other tables provide critical values for t-tests, chi-square tests, ANOVA, and other statistical analyses across different degrees of freedom and significance levels.
This document discusses organizing and displaying data through tables, graphs, and numerical methods. It provides examples of categorical and grouped frequency distributions. A categorical distribution places data into categories, like blood type. A grouped distribution divides a continuous variable into class intervals and counts the frequency of observations within each interval, like systolic blood pressure ranges. The document demonstrates how to construct both types of frequency tables to summarize large datasets.
The document presents a data visualization challenge that asks the user 3 questions about a dataset within time limits, then repeats the challenge with simple visual cues to answer more quickly. It demonstrates how visualizing data can help identify patterns and insights more easily and quickly than just looking at the raw numbers. Visualizing data allows for consistent interpretation and conclusions to be drawn from the same dataset.
2021 Q1 Report per Municipality Antique FHSIS.pdfJoenel6
This document provides maternal health data for 18 municipalities in Antique Province, Philippines in 2021. It includes statistics on teenage pregnancy rates, number of pregnant women seen, prenatal visit completion rates, nutritional status of pregnant women, and tetanus vaccination rates. The province had a total of 10,036 pregnant women seen in 2021, with a teenage pregnancy rate of 11.74% among the total population of pregnant women. 39.78% of pregnant women province-wide completed 4 or more prenatal visits.
The document ranks 145 countries based on their health grade and total health score according to factors like life expectancy, causes of death, and health risks. Singapore ranked as the healthiest country with a health grade of 89.45% and a total health score of 92.52%. The rankings also break down the healthiest countries by region, with Canada, Italy, Singapore, and Israel among the highest ranked countries for their respective regions.
This document contains frequency tables from the SAS statistical software analyzing relationships between variables. It includes frequency counts and percentages for the variables "image", "brand", and "freq" both individually and cross-tabulated. For example, it shows that 6 observations (4.35% frequency) had the image value of "fattening" and were evenly distributed across all 6 brands.
AP Statistics - Confidence Intervals with Means - One SampleFrances Coronel
The document discusses how to construct confidence intervals for means using z-scores and t-scores. It outlines the assumptions, calculations, and conclusions for one-sample confidence intervals. The key steps are to check assumptions about the population distribution and sample size, then use the appropriate formula to calculate the confidence interval with either z-critical values if the population standard deviation is known, or t-critical values if the population standard deviation is unknown.
This document provides performance objectives and nutritional recommendations for Cobb500 broilers. It includes target weights, daily gains, feed conversions, and daily feed intake for male and female broilers from hatch to 56 days. Recommended nutrient levels for medium/large and small broilers are also presented. The goals are to help farmers efficiently raise broilers with good livability, welfare, and yield performance through genetic improvements and optimized nutrition programs.
The document shows data on digital magazine subscriptions from June 2012 to December 2012 and June 2013. It indicates that during this period:
- Digital magazine subscriptions across the top 10 publications increased 60% from around 150,000 in June 2012 to around 250,000 in December 2012.
- Across all magazine categories, digital subscriptions increased 46% between January 2013 and June 2013, with some categories like crafts and hobbies increasing over 200%.
- Data on digital newsstand sales across different platforms shows Apple iPad newsstand selling the most magazines, followed by Google Play and Amazon Kindle newsstand.
The document summarizes the results of 11 practical experiments conducted as part of a Social Networks course. It provides the key metrics and outcomes for each practical, including average points earned, payoffs, and rankings. The document concludes by showing the final accumulated average payoffs and rankings for each participant.
The document provides an analysis by Benjamin Blalock Inc. to help Ruth's Chris Steak House choose three new international markets to expand into. It describes a weighted system used to evaluate over 30 countries based on criteria like beef consumption, GDP, population, and urbanization. The top three highest scoring countries were Ireland (73.98), Spain (69.45), and the Bahamas (67.94). Some notes were provided on potential issues with the population data and lack of tourism data. Alternative weighting systems and criteria were suggested to improve the analysis.
Viet Nam has a population of over 97 million people. In 2020, there were approximately 182,563 new cancer cases and 122,690 cancer deaths reported in the country. The most common cancers among males were liver, lung, and stomach cancer, while among females the most common were breast, lung, and colorectal cancer. Overall, the cancers with the highest incidence rates were liver, lung, breast, stomach, and colorectal cancer. Cancer remains a significant health issue in Viet Nam, as the risk of developing and dying from cancer before age 75 remains high.
Here is a visualization of strike rates of some of India's prolific one-day run scorers:
[GRAPH SHOWING STRIKE RATES OF TENDULKAR, GANGULY, SEHWAG, YUVRAJ, KOHLI]
Tendulkar had the lowest strike rate among these players, averaging around 80. Sehwag had the highest strike rate, averaging over 90. Ganguly, Yuvaraj and Kohli's strike rates were in the mid 80s. So based on this data, Sehwag had the best strike rate among these prolific Indian one-day run scorers.
How do you cut the Big Data clutter and tell interesting, insightful and impacting stories? This session talks about the need for Data Visualization & how Visual stories can come to the aid of the Big Data problem associated with meaningful consumption. The point is illustrated by leveraging several industry case studies.
First trimester report regional veterinary laboratory pokharakrishnaacharya22
The document provides a first quarter progress report for the 2074/75 fiscal year for the Regional Veterinary Laboratory in Pokhara, Nepal. It summarizes the major laboratory services provided, progress made on good governance programs, and budget and expenditure details. Key activities included disease testing and analysis, vaccine distribution, staffing updates, and plans for facility improvements. Overall, most programs achieved over 90% of their targets for the quarter.
The document provides demographic information about The Woodlands, Texas as of January 1, 2015. It summarizes that The Woodlands has a population of 109,679 people living in 41,199 occupied dwellings. The median age is 38.7 and the median household income is $114,609. Regarding household composition, 41.6% of households have children and the average household size is 2.66 people.
The document is a response from the Ministry of Women and Child Development to a question asked in the Lok Sabha regarding suicide rates among Indian youth aged 14-18 and 18-24.
It provides data from the National Crime Records Bureau on the number of suicides committed in India from 2017-2019 by age group and gender. It also outlines programs run by the Ministries of Health and Women and Child Development aimed at mental health services, counseling, and suicide prevention for youth. Key initiatives include the National Mental Health Program, services under Ayushman Bharat, and a new center for child protection and mental health.
This document contains the results of mathematics examinations for three different grade levels:
- Mathematics 10 exam with 50 questions had a mean score of 30% and identified competencies that were mastered, nearing mastery, and not mastered.
- Mathematics 9 exam with 50 questions had a mean score of 29.4% and also identified competencies under the three mastery levels.
- Mathematics 9 exam with 35 questions had the lowest mean score of 12% and did not identify any mastered competencies.
This document provides specifications for various sizes of structural steel profiles including circular, rectangular, and square shapes. It lists the nominal and actual dimensions, wall thickness, static properties such as area, moment of inertia, radius of gyration, plastic modulus, and elastic modulus for bending and torsion. Properties are provided for different steel grades including black and galvanized.
The document is a table showing vehicle sales data by brand and model for each month of 2016 for imported vehicles from dealer associations affiliated with ABEIFA. Some of the key figures include:
- Total sales for the year were 10,776 vehicles.
- The top selling brands were Land Rover (5,926 vehicles), Kia Motors (4,505 vehicles), and Geely (2,727 vehicles).
- For Land Rover, the Discovery Sport was the top selling model (349 vehicles on average per month).
- Kia's best selling models were the Sportage (4,505 total) and Picanto (1,878 total).
The document provides statistics for the top 60 tennis players in a given year. It includes metrics like matches played, winning record, first and second serve points won, break points saved, and return points won for each player. The players are ranked 1-60 with Djokovic ranked first based on their total service and return percentage for the year.
This document is the 2014 Legatum Prosperity Index which ranks 142 countries based on their level of prosperity. It includes an overview section highlighting some key global trends over the past 6 years related to democracy, health, and education. The main body provides the rankings of countries across 8 sub-indices of the overall prosperity measure as well as an overall ranking. Top-ranked countries tend to be wealthy Western democracies while bottom-ranked countries face challenges related to poverty, governance, health, and conflict.
Chemistry to Clinic: The Nanosyn Approach to Bridging the Gaps in Translation...Nanosyn
Presentation by Dr Nikolai Sepetov, CEO and Chief Scientific Officer of Nanosyn, for Grand Rounds In Mayo Clinic. Nikolai has described drug discovery opportunities for small players in the biotech world. With the microfludics screening technology explained this presentation will be very useful strating point for anyone, who is planning preclinical drug discovery studies.
you interviewed the CEO and evaluated the organization to gain.docxsdfghj21
You interviewed the CEO and evaluated the organization to gain insight into their perspective and strategic priorities. This information will help develop a strategic plan to assist the CEO and leaders in encouraging future success. The summary will help leaders and managers understand how their roles, philosophies, and leadership styles can either hinder or encourage growth, and how to better align organizational goals with corporate social responsibility.
Write a to paper about genetically vigorous.docxsdfghj21
Genetic diversity is important for long-term population viability and supports biodiversity. A lack of genetic diversity threatens survival, as seen in populations like the Florida panther which faces health issues due to inbreeding. Population management considers conservation values and aims to balance costs and benefits through efforts like reintroducing invasive species. Conservation methods include ex situ options like zoos and botanical gardens which support genetics but can also reduce diversity, as well as in situ protections under the Endangered Species Act which helps preservation but faces challenges in enforcement.
This document contains frequency tables from the SAS statistical software analyzing relationships between variables. It includes frequency counts and percentages for the variables "image", "brand", and "freq" both individually and cross-tabulated. For example, it shows that 6 observations (4.35% frequency) had the image value of "fattening" and were evenly distributed across all 6 brands.
AP Statistics - Confidence Intervals with Means - One SampleFrances Coronel
The document discusses how to construct confidence intervals for means using z-scores and t-scores. It outlines the assumptions, calculations, and conclusions for one-sample confidence intervals. The key steps are to check assumptions about the population distribution and sample size, then use the appropriate formula to calculate the confidence interval with either z-critical values if the population standard deviation is known, or t-critical values if the population standard deviation is unknown.
This document provides performance objectives and nutritional recommendations for Cobb500 broilers. It includes target weights, daily gains, feed conversions, and daily feed intake for male and female broilers from hatch to 56 days. Recommended nutrient levels for medium/large and small broilers are also presented. The goals are to help farmers efficiently raise broilers with good livability, welfare, and yield performance through genetic improvements and optimized nutrition programs.
The document shows data on digital magazine subscriptions from June 2012 to December 2012 and June 2013. It indicates that during this period:
- Digital magazine subscriptions across the top 10 publications increased 60% from around 150,000 in June 2012 to around 250,000 in December 2012.
- Across all magazine categories, digital subscriptions increased 46% between January 2013 and June 2013, with some categories like crafts and hobbies increasing over 200%.
- Data on digital newsstand sales across different platforms shows Apple iPad newsstand selling the most magazines, followed by Google Play and Amazon Kindle newsstand.
The document summarizes the results of 11 practical experiments conducted as part of a Social Networks course. It provides the key metrics and outcomes for each practical, including average points earned, payoffs, and rankings. The document concludes by showing the final accumulated average payoffs and rankings for each participant.
The document provides an analysis by Benjamin Blalock Inc. to help Ruth's Chris Steak House choose three new international markets to expand into. It describes a weighted system used to evaluate over 30 countries based on criteria like beef consumption, GDP, population, and urbanization. The top three highest scoring countries were Ireland (73.98), Spain (69.45), and the Bahamas (67.94). Some notes were provided on potential issues with the population data and lack of tourism data. Alternative weighting systems and criteria were suggested to improve the analysis.
Viet Nam has a population of over 97 million people. In 2020, there were approximately 182,563 new cancer cases and 122,690 cancer deaths reported in the country. The most common cancers among males were liver, lung, and stomach cancer, while among females the most common were breast, lung, and colorectal cancer. Overall, the cancers with the highest incidence rates were liver, lung, breast, stomach, and colorectal cancer. Cancer remains a significant health issue in Viet Nam, as the risk of developing and dying from cancer before age 75 remains high.
Here is a visualization of strike rates of some of India's prolific one-day run scorers:
[GRAPH SHOWING STRIKE RATES OF TENDULKAR, GANGULY, SEHWAG, YUVRAJ, KOHLI]
Tendulkar had the lowest strike rate among these players, averaging around 80. Sehwag had the highest strike rate, averaging over 90. Ganguly, Yuvaraj and Kohli's strike rates were in the mid 80s. So based on this data, Sehwag had the best strike rate among these prolific Indian one-day run scorers.
How do you cut the Big Data clutter and tell interesting, insightful and impacting stories? This session talks about the need for Data Visualization & how Visual stories can come to the aid of the Big Data problem associated with meaningful consumption. The point is illustrated by leveraging several industry case studies.
First trimester report regional veterinary laboratory pokharakrishnaacharya22
The document provides a first quarter progress report for the 2074/75 fiscal year for the Regional Veterinary Laboratory in Pokhara, Nepal. It summarizes the major laboratory services provided, progress made on good governance programs, and budget and expenditure details. Key activities included disease testing and analysis, vaccine distribution, staffing updates, and plans for facility improvements. Overall, most programs achieved over 90% of their targets for the quarter.
The document provides demographic information about The Woodlands, Texas as of January 1, 2015. It summarizes that The Woodlands has a population of 109,679 people living in 41,199 occupied dwellings. The median age is 38.7 and the median household income is $114,609. Regarding household composition, 41.6% of households have children and the average household size is 2.66 people.
The document is a response from the Ministry of Women and Child Development to a question asked in the Lok Sabha regarding suicide rates among Indian youth aged 14-18 and 18-24.
It provides data from the National Crime Records Bureau on the number of suicides committed in India from 2017-2019 by age group and gender. It also outlines programs run by the Ministries of Health and Women and Child Development aimed at mental health services, counseling, and suicide prevention for youth. Key initiatives include the National Mental Health Program, services under Ayushman Bharat, and a new center for child protection and mental health.
This document contains the results of mathematics examinations for three different grade levels:
- Mathematics 10 exam with 50 questions had a mean score of 30% and identified competencies that were mastered, nearing mastery, and not mastered.
- Mathematics 9 exam with 50 questions had a mean score of 29.4% and also identified competencies under the three mastery levels.
- Mathematics 9 exam with 35 questions had the lowest mean score of 12% and did not identify any mastered competencies.
This document provides specifications for various sizes of structural steel profiles including circular, rectangular, and square shapes. It lists the nominal and actual dimensions, wall thickness, static properties such as area, moment of inertia, radius of gyration, plastic modulus, and elastic modulus for bending and torsion. Properties are provided for different steel grades including black and galvanized.
The document is a table showing vehicle sales data by brand and model for each month of 2016 for imported vehicles from dealer associations affiliated with ABEIFA. Some of the key figures include:
- Total sales for the year were 10,776 vehicles.
- The top selling brands were Land Rover (5,926 vehicles), Kia Motors (4,505 vehicles), and Geely (2,727 vehicles).
- For Land Rover, the Discovery Sport was the top selling model (349 vehicles on average per month).
- Kia's best selling models were the Sportage (4,505 total) and Picanto (1,878 total).
The document provides statistics for the top 60 tennis players in a given year. It includes metrics like matches played, winning record, first and second serve points won, break points saved, and return points won for each player. The players are ranked 1-60 with Djokovic ranked first based on their total service and return percentage for the year.
This document is the 2014 Legatum Prosperity Index which ranks 142 countries based on their level of prosperity. It includes an overview section highlighting some key global trends over the past 6 years related to democracy, health, and education. The main body provides the rankings of countries across 8 sub-indices of the overall prosperity measure as well as an overall ranking. Top-ranked countries tend to be wealthy Western democracies while bottom-ranked countries face challenges related to poverty, governance, health, and conflict.
Chemistry to Clinic: The Nanosyn Approach to Bridging the Gaps in Translation...Nanosyn
Presentation by Dr Nikolai Sepetov, CEO and Chief Scientific Officer of Nanosyn, for Grand Rounds In Mayo Clinic. Nikolai has described drug discovery opportunities for small players in the biotech world. With the microfludics screening technology explained this presentation will be very useful strating point for anyone, who is planning preclinical drug discovery studies.
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you interviewed the CEO and evaluated the organization to gain.docxsdfghj21
You interviewed the CEO and evaluated the organization to gain insight into their perspective and strategic priorities. This information will help develop a strategic plan to assist the CEO and leaders in encouraging future success. The summary will help leaders and managers understand how their roles, philosophies, and leadership styles can either hinder or encourage growth, and how to better align organizational goals with corporate social responsibility.
Write a to paper about genetically vigorous.docxsdfghj21
Genetic diversity is important for long-term population viability and supports biodiversity. A lack of genetic diversity threatens survival, as seen in populations like the Florida panther which faces health issues due to inbreeding. Population management considers conservation values and aims to balance costs and benefits through efforts like reintroducing invasive species. Conservation methods include ex situ options like zoos and botanical gardens which support genetics but can also reduce diversity, as well as in situ protections under the Endangered Species Act which helps preservation but faces challenges in enforcement.
When you talk about the meaning of which sense.docxsdfghj21
When discussing the meaning of life, one must consider whether they refer to external or internal meaning. External meaning relates to a purpose imposed by some higher authority, while internal meaning involves finding personal fulfillment and satisfaction through experiences and interpersonal relationships. This distinction is explored in Lewis Vaughn's book "Philosophy here and now: Powerful ideas in everyday life."
Virtualization and cloud services continue to gain momentum as more.docxsdfghj21
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Your name Brief background Your profession What you hope to.docxsdfghj21
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This project provides you an opportunity to apply the marketing.docxsdfghj21
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Using online or library research articles explain the.docxsdfghj21
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Cyber Crime with basics and knowledge to cyber sphereRISHIKCHAUDHARY2
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Also this can be helpful for study purpose in college and schools.
You will also get two case studies which can be helpful for better understand.
Network Security and Cyber Laws (Complete Notes) for B.Tech/BCA/BSc. ITSarthak Sobti
Network Security and Cyber Laws
Detailed Course Content
Unit 1: Introduction to Network Security
- Introduction to Network Security
- Goals of Network Security
- ISO Security Architecture
- Attacks and Categories of Attacks
- Network Security Services & Mechanisms
- Authentication Applications: Kerberos, X.509 Directory Authentication Service
Unit 2: Application Layer Security
- Security Threats and Countermeasures
- SET Protocol
- Electronic Mail Security
- Pretty Good Privacy (PGP)
- S/MIME
- Transport Layer Security: Secure Socket Layer & Transport Layer Security
- Wireless Transport Layer Security
Unit 3: IP Security and System Security
- Authentication Header
- Encapsulating Security Payloads
- System Security: Intruders, Intrusion Detection System, Viruses
- Firewall Design Principles
- Trusted Systems
- OS Security
- Program Security
Unit 4: Introduction to Cyber Law
- Cyber Crime, Cyber Criminals, Cyber Law
- Object and Scope of the IT Act: Genesis, Object, Scope of the Act
- E-Governance and IT Act 2000
- Legal Recognition of Electronic Records
- Legal Recognition of Digital Signatures
- Use of Electronic Records and Digital Signatures in Government and its Agencies
- IT Act in Detail
- Basics of Network Security: IP Addresses, Port Numbers, and Sockets
- Hiding and Tracing IP Addresses
- Scanning: Traceroute, Ping Sweeping, Port Scanning, ICMP Scanning
- Fingerprinting: Active and Passive Email
Unit 5: Advanced Attacks
- Different Kinds of Buffer Overflow Attacks: Stack Overflows, String Overflows, Heap and Integer Overflows
- Internal Attacks: Emails, Mobile Phones, Instant Messengers, FTP Uploads, Dumpster Diving, Shoulder Surfing
- DOS Attacks: Ping of Death, Teardrop, SYN Flooding, Land Attacks, Smurf Attacks, UDP Flooding
- Hybrid DOS Attacks
- Application-Specific Distributed DOS Attacks
1. healthcare task: healthcare statistics
healthcare task: healthcare statistics ON healthcare task: healthcare statisticsIn this
problem, you will calculate mean values for four independent samples and then explain the
observed differences (please read the entire problem before beginning). Using the SWC data
(SWC tab) in dataset DS2.xls, do the following:Select a 10% random sample of all cases and
calculate the Mean for the IMR (infant mortality rate) for this sample. Record the mean. (2
points)Select a second 10% random sample and calculate the Mean for the IMR for this
sample. Record the mean. (2 points)Select a third 10% random sample and calculate the
Mean for the IMR for this sample. Record the mean. (2 points)Select a fourth 10% random
sample and calculate the Mean for the IMR for this sample. Record the mean. (2
points)Create a table that displays the four means calculated above in parts a-d. Calculate
the average of the four means (Mean-1, Mean-2, Mean-3, Mean-4) and add this figure to the
table. Describe the mean values calculated and offer an explanation for any differences
observed. That is, explain why the four means calculated in parts a-d are not exactly the
same. Include a comment about the “fifth mean” (the average of the means calculated in
parts a-d). (2 points)In the next two problems, you will calculate frequency distributions
and express them in different kinds of charts. Using the Hospital Charges data in dataset
DS2.xls, do the following:Compute the minimum and maximum age for the cases in the
spreadsheet. (1 point)Create a frequency distribution of age using the following categories
of age (<50, 50-64, 65-79, 80+). Compute percent and cumulative percent for each age
category. (4 points)Label all elements in the frequency table. (2 points)Create a column
chart of age (showing the number of cases in each age category). (1 point)Create a line chart
of age (showing the number of cases in each age category). (1 point)Create a pie chart of age
(showing the percent of cases in each age category). (1 point)Using Late Delivery data in
dataset DS2.xls , do the following:Use the pivot table to create a frequency distribution for
the reasons for the late delivery of the meal. (4 points)Sort the frequency distribution so
that the reason with the most occurrences is first, the second next, and so on, and create a
column chart showing the reasons from most to least. (3 points)Compute the cumulative
frequency (%) for the data in (a) and construct a Pareto chart of the result. That is, create a
line chart for cumulative frequency (%) and add this to the chart created in part 6.b. (3
points) ds2.xlsxUnformatted Attachment Preview1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46
47 48 49 50 51 52 53 54 Country U5MR IMR Afghanistan 257 Albania 35 Algeria 41 Angola
295 Argentina 22 Armenia 30 Australia 5 Austria 5 Azerbaijan 45 Bangladesh 89 Belarus 28
3. 86 3 143 F 1 70 5 209 M 0 72 5 96 M 0 91 3 144 M 0 75 2 90 F 1 83 6 88 M 0 82 1 183 F 1 82
10 430 F 1 92 2 138 F 1 79 2 88 F 1 69 2 447 F 1 76 3 183 M 0 73 2 140 F 1 83 6 127 F 1 80
4 444 F 1 76 10 493 F 1 77 7 324 F 1 85 4 140 F 1 70 1 140 M 0 81 2 140 Charges $ 2,426.48
$ 6,815.61 $ 7,596.68 $ 6,450.77 $ 3,542.79 $ 2,590.86 $ 5,082.83 $ 3,580.55 $ 11,045.79 $
19,708.11 $ 8,953.38 $ 7,000.21 $ 5,330.24 $ 6,864.63 $ 4,318.13 $ 6,424.30 $ 5,184.53 $
1,871.78 $ 11,179.97 $ 3,405.38 $ 1,731.73 $ 5,384.92 $ 5,216.91 $ 2,489.65 $ 8,244.25 $
3,548.05 $ 4,713.26 $ 5,804.21 $ 2,945.22 $ 1,035.75 $ 17,005.45 $ 4,637.96 $ 17,480.97 $
5,029.09 $ 3,078.99 $ 2,146.99 $ 5,482.93 $ 1,078.56 $ 9,931.21 $ 2,451.69 $ 2,834.68 $
1,547.81 $ 1,876.70 $ 2,781.28 $ 6,460.59 $ 3,026.42 $ 14,769.92 $ 4,425.44 $ 5,151.52 $
2,404.39 $ 5,019.86 Medicare Diag ICD-9 Drg Cat $ 2,003.62 2 0 Endocrine and Nutrition $
1,072.17 4 4 Circulatory System $ 4,096.98 6 0 Respiratory System $ 1,710.79 5 0
Circulatory System $ 1,914.90 3 7 Circulatory System $ 2,601.14 5 4 Nervous System $
2,035.31 7 2 Endocrine and Nutrition $ 2,320.42 6 0 Musculoskeletal System $ 4,184.26 1 0
Male Reproductive Tract $ 12,158.49 4 0 Digestive System $ 4,345.84 4 0 Respiratory
System $ 3,993.48 5 0 Circulatory System $ 3,408.07 4 0 Respiratory System $ 3,637.35 5 4
Circulatory System $ 2,676.01 2 0 Male Reproductive Tract $ 1,510.20 3 0 Kidney and
Urinary Tract $ 3,642.44 6 5 Digestive System $ 1,167.65 6 0 Circulatory System $ 3,432.13
9 6 Female Reproductive Tract $ 1,710.79 1 0 Circulatory System $ 1,979.28 4 7 Circulatory
System $ 3,316.59 2 0 Digestive System $ 3,613.06 2 4 Respiratory System $ 2,201.93 3 0
Endocrine and Nutrition $ 12,772.75 4 0 Blood Forming Organs $ 2,163.29 8 4 Circulatory
System $ 1,801.73 4 0 Nervous System $ 5,282.36 5 7 Circulatory System $ 2,849.72 2 0
Circulatory System $ 1,685.62 5 4 Circulatory System $ 7,534.44 1 7 Musculoskeletal
System $ 1,447.84 5 0 Circulatory System $ 7,566.98 5 0 Musculoskeletal System $ 3,306.80
8 4 Respiratory System $ 3,351.64 5 4 Circulatory System $ 1,968.05 2 4 Respiratory
System $ 3,147.39 2 0 Respiratory System $ 1,386.42 6 5 Digestive System $ 3,530.00 1 0
Mental Illness, Drug Abuse $ 2,266.56 2 4 Circulatory System $ 3,579.24 1 0 Respiratory
System $ 988.00 3 0 Injury, Poisoning $ 1,235.80 1 0 Digestive System $ 1,483.79 4 0
Circulatory System $ 3,993.48 5 0 Circulatory System $ 1,918.32 1 6 Injury, Poisoning $
5,594.68 4 5 Rehab and Aftercare $ 1,531.55 5 5 Kidney and Urinary Tract $ 1,710.79 5 0.
healthcare task: healthcare statisticsCirculatory System $ 735.58 1 4 Circulatory System $
1,730.79 2 0 Circulatory System 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70
71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99
100 F M F M F M F M F F M F F F F F F M F M M F F F M M M M F M F F M F F M F F M F F M F
F F M M M M 1 0 1 0 1 0 1 0 1 1 0 1 1 1 1 1 1 0 1 0 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1 0 1 1 0 1 1 0 1
1 1 0 0 0 0 83 76 88 88 89 39 89 80 71 90 91 73 77 78 79 85 74 78 92 56 76 84 75 68 50 49
76 76 67 96 83 77 86 80 61 80 78 71 90 91 70 88 76 83 75 83 68 75 60 9 2 3 4 2 1 5 12 7 4
4 1 7 2 4 14 1 10 2 1 2 10 3 7 2 9 3 3 2 11 16 3 5 1 8 5 2 10 9 7 6 5 2 5 3 7 9 7 5 138 269 140
208 15 434 88 78 89 89 316 140 166 175 203 87 296 294 127 294 183 197 132 240 182
436 175 207 359 79 127 182 346 140 296 236 122 90 89 296 248 278 143 321 127 140 79
101 14 $ 10,421.01 $ 4,860.83 $ 2,694.11 $ 2,421.63 $ 3,311.66 $ 1,596.91 $ 5,399.67 $
17,605.59 $ 11,098.70 $ 3,674.03 $ 3,720.09 $ 2,472.64 $ 7,792.24 $ 3,489.88 $ 4,655.83 $
10,242.50 $ 1,599.82 $ 6,015.34 $ 1,905.65 $ 707.70 $ 3,004.67 $ 18,290.04 $ 5,621.92 $
5,547.71 $ 2,581.72 $ 7,024.64 $ 4,242.10 $ 4,286.90 $ 12,313.78 $ 8,217.27 $ 10,655.80 $
4. 3,620.78 $ 4,734.98 $ 1,820.41 $ 8,954.81 $ 4,177.90 $ 5,756.89 $ 12,919.48 $ 7,022.47 $
6,823.60 $ 2,500.00 $ 3,169.19 $ 2,721.63 $ 3,034.14 $ 5,041.93 $ 8,118.92 $ 10,955.29 $
5,363.25 $ 6,572.60 $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $
$ $ $ $ $ $ $ 2,384.125,688.67 1,564.50 1,346.94 2,065.49 392.00 3,048.91 4,432.93
4,256.70 3,609.84 4,269.96 2,356.05 4,538.13 1,430.32 3,965.21 4,531.65 2,628.95
2,003.62 3,993.48 2,102.01 1,423.87 6,862.34 1,772.78 4,565.48 2,238.61 2,441.00
1,344.35 3,045.51 2,393.04 5,462.63 3,277.48 2,064.43 3,731.44 1,564.50 3,351.61
2,314.57 2,156.63 2,711.94 2,589.84 3,516.57 2,084.09 2,131.82 1,150.43 1,630.16
3,645.46 1,730.79 5,662.61 3,409.08 3,892.79 5 4 2 2 3 5 4 9 3 3 6 4 1 3 9 6 3 5 5 3 4 5 5 5 3
5 4 2 3 4 5 5 2 2 4 6 3 3 2 6 5 4 6 7 1 5 8 5 6 0 1 0 0 0 3 4 7 4 0 2 0 5 5 6 0 0 0 0 2 5 0 7 7 5 0 5
5 0 0 0 5 0 0 2 0 4 0 0 4 0 0 7 0 4 0 4 5 4. healthcare task: healthcare statisticsCirculatory
System Skin and Connective Tissue Circulatory System Digestive System Nervous System
Mental Illness, Drug Abuse Respiratory System Respiratory System Respiratory System
Respiratory System Kidney and Urinary Tract Circulatory System Digestive System
Digestive System Digestive System Respiratory System Endocrine and Nutrition Endocrine
and Nutrition Circulatory System Endocrine and Nutrition Digestive System Digestive
System Circulatory System Musculoskeletal System Digestive System Mental Illness, Drug
Abuse Digestive System Digestive System Female Reproductive Tract Respiratory System
Circulatory System Digestive System Male Reproductive Tract Circulatory System
Endocrine and Nutrition Musculoskeletal System Circulatory System Respiratory System
Respiratory System Endocrine and Nutrition Musculoskeletal System Skin and Connective
Tissue Circulatory System Kidney and Urinary Tract Circulatory System Circulatory System
Respiratory System Respiratory System Nervous System e and Nutrition e and Nutrition
keletal System roductive Tract roductive Tract d Urinary Tract eproductive Tract e and
Nutrition ming Organs keletal System keletal System ness, Drug Abuse d Urinary Tract
Connective Tissue ness, Drug Abuse d Urinary Tract e and Nutrition e and Nutrition e and
Nutrition keletal System ness, Drug Abuse eproductive Tract roductive Tract e and
Nutrition keletal System e and Nutrition keletal System Connective Tissue d UrinaryTract ID
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 Ward General Geriatric Geriatric
Geriatric Geriatric General General General Geriatric General General General General
General Pediatric General General General General Pediatric General Geriatric General
Pediatric Pediatric General Geriatric General Geriatric General General Geriatric General
Pediatric General Geriatric General Geriatric Pediatric General General General Pediatric
General General General General General Geriatric General General Reason Patient out of
room Cart unavailable Nursing unavailable Plate warmer broken Plate warmer broken
Nursing unavailable Patient asleep Patient out of room Nursing unavailable Patient asleep
Nursing unavailable Elevator malfunction Doctor making rounds Elevator malfunction Plate
warmer broken Doctor making rounds Patient out of room Nursing unavailable Patient out
of room Patient asleep Nursing unavailable Patient asleep Patient out of room Doctor
making rounds Doctor making rounds Patient not hungry Elevator malfunction Cart
unavailable Nursing unavailable Doctor making rounds Patient out of room Nursing
unavailable Patient out of room Patient out of room Patient out of room Nursing unavailable
5. Patient out of room Doctor making rounds Patient asleep Nursing unavailable Nursing
unavailable Nursing unavailable Nursing unavailable Nursing unavailable Elevator
malfunction Cart unavailable Nursing unavailable Cart unavailable Patient out of room
Nursing unavailable Patient out of room 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 healthcare
task: healthcare statistics94 95 96 97 98 99 100 101 102 103 General Geriatric General
General Geriatric General Pediatric General General General General General General
Geriatric General Geriatric Geriatric General Geriatric General General General General
Pediatric Pediatric General Pediatric Geriatric Pediatric General General Geriatric General
Geriatric General General Pediatric Geriatric Pediatric Pediatric Geriatric Pediatric General
General General General Pediatric Geriatric Geriatric Geriatric Pediatric General Nursing
unavailable Elevator malfunction Patient out of room Patient out of room Patient out of
room Cart unavailable Nursing unavailable Patient out of room Patient out of room Nursing
unavailable Nursing unavailable Nursing unavailable Cart unavailable Plate warmer broken
Patient asleep Nursing unavailable Nursing unavailable Doctor making rounds Patient
asleep Elevator malfunction Elevator malfunction Nursing unavailable Patient asleep
Nursing unavailable Patient out of room Elevator malfunction Nursing unavailable Patient
not hungry Plate warmer broken Patient out of room Patient out of room Patient out of
room Nursing unavailable Patient out of room Other Patient out of room Nursing
unavailable Plate warmer broken Cart unavailable Nursing unavailable Nursing unavailable
Nursing unavailable Patient out of room Patient out of room Nursing unavailable Nursing
unavailable Patient out of room Nursing unavailable Patient out of room Nursing
unavailable Patient out of room Cart unavailable 104 105 106 107 108 109 110 111 112
113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129130 131 132 133
134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153
154 155General General General General General General General General Geriatric
Geriatric General General Geriatric General Geriatric Geriatric Geriatric General Pediatric
Pediatric Pediatric General Pediatric Pediatric Pediatric General Geriatric Geriatric General
General Pediatric General General Pediatric General General General General Pediatric
General General Pediatric Geriatric Pediatric General General Geriatric General General
Geriatric Geriatric General Elevator malfunction Elevator malfunction Patient asleep
Nursing unavailable Elevator malfunction Nursing unavailable Patient out of room Nursing
unavailable Elevator malfunction Patient out of room Nursing unavailable Patient out of
room Cart unavailable Nursing unavailable Plate warmer broken Patient out of room
Elevator malfunction Patient asleep Plate warmer broken Nursing unavailable Nursing
unavailable Doctor making rounds Doctor making rounds Elevator malfunction Nursing
unavailable Doctor making rounds Nursing unavailable Patient out of room Nursing
unavailable Doctor making rounds Patient out of room Cart unavailable Nursing unavailable
Nursing unavailable Doctor making rounds Patient asleep Patient out of room Nursing
unavailable Nursing unavailable Patient out of room Nursing unavailable Doctor making
rounds Nursing unavailable Doctor making rounds Nursing unavailable Elevator
malfunction Nursing unavailable Patient out of room Other Patient out of room Patient out
of room Nursing unavailable 156 157 158 159 160 161 162 163 164 165 166 167 168 169
6. 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189
190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 healthcare
task: healthcare statisticsGeriatric Geriatric General General General General General
General General Pediatric Geriatric Geriatric Geriatric General General Geriatric Pediatric
General General Pediatric Pediatric General General General General General General
General General Geriatric General General General General General Pediatric General
General Geriatric Pediatric Geriatric General General Pediatric General Geriatric Pediatric
Geriatric General General General General Elevator malfunction Patient out of room Nursing
unavailable Doctor making rounds Patient out of room Elevator malfunction Plate warmer
broken Patient out of room Doctor making rounds Elevator malfunction Doctor making
rounds Nursing unavailable Doctor making rounds Nursing unavailable Patient out of room
Patient out of room Doctor making rounds Patient asleep Nursing unavailable Patient out of
room Nursing unavailable Nursing unavailable Patient out of room Nursing unavailable
Nursing unavailable Elevator malfunction Plate warmer broken Patient not hungry Patient
out of room Patient out of room Nursing unavailable Nursing unavailable Patient out of
room Nursing unavailable Patient out of room Elevator malfunction Nursing unavailable
Doctor making rounds Nursing unavailable Patient out of room Nursing unavailable Doctor
making rounds Nursing unavailable Elevator malfunction Cart unavailable Nursing
unavailable Patient asleep Patient out of room Nursing unavailable Nursing unavailable
Nursing unavailable Patient out of room 208 209 210 211 212 213 214 215 216 217 218
219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238
239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258
259. healthcare task: healthcare statisticsGeneral Pediatric General Pediatric General
General General General General General General General Pediatric General General General
General General General General General General General Geriatric Pediatric Pediatric
Geriatric General Pediatric General General Geriatric General Geriatric General Pediatric
General Geriatric Pediatric Pediatric Pediatric Geriatric Pediatric General General General
General General General Pediatric General Geriatric Elevator malfunction Nursing
unavailable Plate warmer broken Nursing unavailable Patient out of room Patient out of
room Nursing unavailable Patient out of room Cart unavailable Nursing unavailable Nursing
unavailable Elevator malfunction Nursing unavailable Patient out of room Nursing
unavailable Nursing unavailable Nursing unavailable Nursing unavailable Patient out of
room Patient out of room Patient out of room Elevator malfunction Patient out of room
Patient not hungry Patient out of room Plate warmer broken Nursing unavailable Doctor
making rounds Doctor making rounds Elevator malfunction Patient out of room Nursing
unavailable Nursing unavailable Nursing unavailable Patient asleep Patient out of room
Doctor making rounds Nursing unavailable Nursing unavailable Plate warmer broken
Patient out of room Patient out of room Nursing unavailable Nursing unavailable Nursing
unavailable Cart unavailable Plate warmer broken Patient out of room Nursing unavailable
Patient asleep Elevator malfunction Plate warmer broken 260 261 262 263 264 265 266
267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286
287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306
307 308 309 310 311 Geriatric Geriatric Geriatric General General General General Geriatric
7. General General General General General Geriatric General General General General General
Geriatric General Geriatric General General General Pediatric Pediatric Geriatric General
Geriatric Geriatric General Pediatric Pediatric Geriatric Geriatric General General Geriatric
Geriatric General General Geriatric General General General Geriatric Geriatric General
Pediatric General Geriatric Patient out of room Doctor making rounds Nursing unavailable
Nursing unavailable Other Nursing unavailable Nursing unavailable Patient out of room
Nursing unavailable Doctor making rounds Nursing unavailable Patient out of room Patient
not hungry Patient out of room Elevator malfunction Nursing unavailable Other Patient out
of room Nursing unavailable Plate warmer broken Nursing unavailable Nursing unavailable
Patient out of room Nursing unavailable Nursing unavailable Plate warmer broken Nursing
unavailable Nursing unavailable Patient out of room Nursing unavailable Patient out of
room Patient out of room Cart unavailable Patient asleep Nursing unavailable Nursing
unavailable Nursing unavailable Patient asleep Nursing unavailable Nursing unavailable
Patient asleep Cart unavailable Patient not hungry Patient asleep Nursing unavailable
Nursing unavailable Nursing unavailable Patient out of room Nursing unavailable Patient
out of room Nursing una … . healthcare task: healthcare statistics