This text is intended for the two-term introductory statistics course for business and economics majors at the undergraduate or MBA level. College Algebra is a prerequisite. The author emphasizes statistical inference and model-building in a real-world context and presents a complete introduction to regression and forecasting. Statistical software output from SPSSÂ®, MINITABÂ™, and SASÂ® is included in each chapter's "Computer Applications" section to aid students in understanding and interpreting statistical output.
About the Author
Ph.D., Purdue University
Table of Contents
1. What Statistics Is All About 2. Data Collection and Sampling Theory 3. Summarizing Data in Tables and Graphs 4. Summary Statistics: Measures of Location and Dispersion 5. Introduction to Probability 6. Discrete Probability Distributions 7. Some Important Discrete Distributions 8. Some Useful Continuous Probability Distributions 9. Sampling Theory and Some Important Sampling Distributions 10. Estimating and Constructing Confidence Intervals 11. Hypothesis Testing 12. Tests of Hypotheses Involving Two Populations 13. Chi-Square Tests 14. Analysis of Variance 15. Regression and Correlation 16. Multiple Regression Models 17. Special Topics in Multiple Regression Analysis 18. Residual Analysis and Violations of the Basic Assumptions 19. Time Series Analysis I: Estimation of the Trend Component 20. Time Series Analysis II: Estimation of the Seasonal Component 21. Some Nonparametric Tests 22. Introduction to Statistical Decision Theory 23. Quality Control