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The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team—Bowerman/O'Connell/Murphree/Orris-emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today's business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
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1. An Introduction to Business Statistics2. Descriptive Statistics: Tabular and Graphical Methods3. Descriptive Statistics: Numerical Methods4. Probability5. Discrete Random Variables6. Continuous Random Variables7. Sampling and Sampling Distributions8. Confidence Intervals9. Hypothesis Testing10. Statistical Inferences Based on Two Samples11. Experimental Design and Analysis of Variance12. Chi-Square Tests13. Simple Linear Regression Analysis14. Multiple Regression and Model BuildingAppendix A: Statistical TablesAnswers to Most Odd-Numbered ExercisesReferencesPhoto CreditsIndexOn the Website: 15. Process Improvement Using Control ChartsAppendix B: Properties of the Mean and the Variance of a Random Variable and the Co-varianceAppendix C: Derivatives of the Mean and Variance of x(bar) and p(hat)Appendix D: Confidence Intervals for Parameters of Finite PopulationsAppendix E: Logistic Regression