Business Statistics in Practice
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The new edition of Business Statistics in Practice provides a modern, practical, and unique framework for teaching the first course in business statistics. This framework features case study and example-driven discussions of all basic business statistics topics. In addition, the authors have rewritten many of the discussions in this edition and have explained concepts more simply from first principles. The only prerequisite for this text is high school algebra.
1. An Introduction to Business Statistics2. Descriptive Statistics: Tabular and Graphical Methods3. Descriptive Statistics: Numerical Methods4. Probability5. Discrete Random Variables6. Continuous Random Variables7. 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 Regression15. Model Building and Model Diagnostics16. Time Series Forecasting17. Process Improvement Using Control Charts18. Nonparametric Methods19. Decision TheoryAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: Hypergeometric DistributionAppendix D: Properties of the Mean and the Variance of a Random Variable, and the CovarianceAppendix E: Derivations of the Mean and Variance of x(bar) and p(hat
