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Business Statistics
The course 	This courses introduces students to a range of statistical techniques that are appropriate in business practice and decision making. Students will learn how to make appropriate use of statistical techniques.
Learning outcomes 	Demonstrate the use of appropriate software for converting data into meaningful information. 	Selected, defend, and use appropriate statistical tools for analysis of data.
Learning outcomes 	Analyze and present business data. 	Demonstrate an understanding of the role of statistics for business-focused research
Topics Data and statistics Descriptive statistics 	Tables and charts 	Numerical methods (measures of centrality and measures of disperal) Types of data Probability and Probability Sampling
Topics Interval Estimation Hypothesis testing Means comparison, 2 groups and 3 groups Regression analysis Review
Assessments Midterm Examination		20% Project								30% Final examination				50%
Statistics is: 	The science of organizing and analyzing information to make that information more easily understood. 	Statistics describes a set of tools that help you organize, describe, and interpret information 			Test scores, patient complaints, test one 			drug against another.
Statistics are part 	Of critical thinking skills which call for people to use quantitative and quantative information to make decisions. 	They let us make judgments about the world around us.
Categories of stats Descriptive 	Look at the characteristics of a data set 			Age 			Gender Inferential statistics 			Let us make inferences about the data 			and populations.
Data sets
Descriptive statistics Measures of centrality 	Mean 	Median 	Mode
Descriptive statistics Measures of Dispersal 	Range 	Variance 	Standard Deviation
Inferential statistics 	You are interested in finding out which is the most appealing name for a new brand of potato chips. You find a group of potato chip eaters that is representative of all potato chip eaters and ask these people to tell which names for potato chips that they like best. Then you extrapolate (infer) the findings to a huge group of potato chip eaters

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Business Statistics

  • 2. The course This courses introduces students to a range of statistical techniques that are appropriate in business practice and decision making. Students will learn how to make appropriate use of statistical techniques.
  • 3. Learning outcomes Demonstrate the use of appropriate software for converting data into meaningful information. Selected, defend, and use appropriate statistical tools for analysis of data.
  • 4. Learning outcomes Analyze and present business data. Demonstrate an understanding of the role of statistics for business-focused research
  • 5. Topics Data and statistics Descriptive statistics Tables and charts Numerical methods (measures of centrality and measures of disperal) Types of data Probability and Probability Sampling
  • 6. Topics Interval Estimation Hypothesis testing Means comparison, 2 groups and 3 groups Regression analysis Review
  • 7. Assessments Midterm Examination 20% Project 30% Final examination 50%
  • 8. Statistics is: The science of organizing and analyzing information to make that information more easily understood. Statistics describes a set of tools that help you organize, describe, and interpret information Test scores, patient complaints, test one drug against another.
  • 9. Statistics are part Of critical thinking skills which call for people to use quantitative and quantative information to make decisions. They let us make judgments about the world around us.
  • 10. Categories of stats Descriptive Look at the characteristics of a data set Age Gender Inferential statistics Let us make inferences about the data and populations.
  • 12. Descriptive statistics Measures of centrality Mean Median Mode
  • 13. Descriptive statistics Measures of Dispersal Range Variance Standard Deviation
  • 14. Inferential statistics You are interested in finding out which is the most appealing name for a new brand of potato chips. You find a group of potato chip eaters that is representative of all potato chip eaters and ask these people to tell which names for potato chips that they like best. Then you extrapolate (infer) the findings to a huge group of potato chip eaters
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