This course introduces students to statistical techniques for business decision making. Students will learn to analyze and present business data using appropriate software and statistical tools. Topics covered include descriptive statistics, probability, sampling, hypothesis testing, regression analysis, and comparing means of two and three groups. Assessments include a midterm, project, and final exam. Statistics are used to organize and analyze information to make it more easily understood, allowing judgments about the world. Descriptive statistics describe characteristics of data sets, while inferential statistics allow inferences about populations from data samples.

1. 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.

11. Data sets

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