The new edition of Business Statistics in Practice delivers clear and understandable explanations of business statistics concepts through the use of continuing case studies and an emphasis on business improvement. The cases and examples show real applications of statistics relevant to today's business students. The authors motivate students by showing persuasively how the use of statistical techniques in support of business decision-making helps to improve business processes. A variety of computer centered examples and exercises, and a robust, technology-based ancillary package are designed to help students master this subject. Acknowledging the importance of spreadsheets and statistical software in their statistical instruction, the authors continue to integrate Excel and Minitab output throughout the text. In addition, a new enhanced version of MegaStat, an Excel add-in program designed to optimize Excel for statistical application, is available free on the Student CD. For students and instructors who want to explore statistical concepts from a graphical perspective, Visual Statistics is again available on the Student CD. New Business Improvement icons are integrated throughout the text to illustrate the ‘BI’ theme.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
1. An Introduction to Business Statistics
2. Descriptive Statistics
3. Probability
4. Discrete Random Variables
5. Continuous Random Variables
6. Sampling Distributions
7. Confidence Intervals
8. Hypothesis Testing
9. Statistical Inferences Based on Two Samples
10. Experimental Design and Analysis of Variance
11. Simple Linear Regression Analysis
12. Multiple Regression and Model Building
13. Time Series Forecasting
14. Process Improvement Using Control Charts
15. Nonparametric Methods
16. Chi-Square Tests
17. Decision Theory
Appendix A: Statistical Tables
Appendix B: Covariance and Correlation
Appendix C:
• Part I: Counting Rules
• Part II The Hypergeometric Distribution
Appendix D: The Normal Probability Plot
Appendix E:
• Part I: Properties of the Mean and the Variance of a Random Variable, and Covariance
Appendix F:
• Part I: Stratified Random Sampling
Answers to Most Odd-Numbered Exercises
References
Index
Appendix E: (Part 2) Derivations of the Mean and Variance of x and p On CD-ROM
Appendix F: (Part 2) Cluster Sampling and Ratio Estimation On CD-ROM
Appendix G: Using Matrix Algebra to Perform Regression Calculations On CD-ROM
Book by Bowerman Bruce OConnell Richard
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