Essentials of Business Statistics with Student CD-ROM
by BOWERMANEdition: 1st
Format: Hardcover
Pub. Date: 2003-08-15
Publisher(s): McGraw-Hill/Irwin
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Summary
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. Containing continuing case studies that emphasize the theme of business improvement, the text offers real applications of statistics that are 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..
Author Biography
Bruce L. Bowerman is professor of decision sciences at Miami University in Oxford, Ohio.
Table of Contents
Chapter 1: An Introduction to Business StatisticsChapter 2: Descriptive StatisticsChapter 3: ProbabilityChapter 4: Discrete Random VariablesChapter 5: Continuous Random VariablesChapter 6: Sampling DistributionsChapter 7: Confidence IntervalsChapter 8: Hypothesis TestingChapter 9: Comparing Population MeansChapter 10: Comparing Proportions and Chi-Square TestsChapter 11: Simple Linear Regression AnalysisChapter 12: Multiple Regression And Model BuildingAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Chapter 3: ProbabilityChapter 4: Discrete Random VariablesChapter 5: Continuous Random VariablesChapter 6: Sampling DistributionsChapter 7: Confidence IntervalsChapter 8: Hypothesis TestingChapter 9: Comparing Population MeansChapter 10: Comparing Proportions and Chi-Square TestsChapter 11: Simple Linear Regression AnalysisChapter 12: Multiple Regression And Model BuildingAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Chapter 5: Continuous Random VariablesChapter 6: Sampling DistributionsChapter 7: Confidence IntervalsChapter 8: Hypothesis TestingChapter 9: Comparing Population MeansChapter 10: Comparing Proportions and Chi-Square TestsChapter 11: Simple Linear Regression AnalysisChapter 12: Multiple Regression And Model BuildingAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Chapter 7: Confidence IntervalsChapter 8: Hypothesis TestingChapter 9: Comparing Population MeansChapter 10: Comparing Proportions and Chi-Square TestsChapter 11: Simple Linear Regression AnalysisChapter 12: Multiple Regression And Model BuildingAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Chapter 9: Comparing Population MeansChapter 10: Comparing Proportions and Chi-Square TestsChapter 11: Simple Linear Regression AnalysisChapter 12: Multiple Regression And Model BuildingAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Chapter 11: Simple Linear Regression AnalysisChapter 12: Multiple Regression And Model BuildingAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Appendix A: Statistical TablesAppendix B: Counting RulesAppendix C: The 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 and p
Appendix C: The 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 and p
Appendix E: Derivations of the Mean and Variance of x and p
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