Business statistics in practice / Bruce L. Bowerman, Richard T. O?Connell, Emily S. Murphree ; with major contributions by Steven C. Huchendorf, Dawn C. Porter, Patrick J. Schur.

By: Bowerman, Bruce L, author
Series: The McGraw-Hill/Irwin series: operations and decision sciencesNew York: McGraw-Hill 2011Edition: 6th edDescription: 899 pages: some color illustration; 29 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780071220651Subject(s): Commercial statistics | Statistics | Probabilities | Business mathematicsDDC classification: 510.502465
Contents:
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
Summary: Provides a modern and practical framework for teaching the first course in business statistics, featuring case study and example-driven discussions of various basic business statistics topics.
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SUBJECT REFERENCE 		510.502465 B676 2011 (Browse shelf) Available CITU-CL-41915
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Includes index

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

Provides a modern and practical framework for teaching the first course in business statistics, featuring case study and example-driven discussions of various basic business statistics topics.

500-599 510

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