Bruce L. Bowerman,
Miami University Richard T. O'Connell,
Miami University Emily S. Murphree,
Miami University
ISBN: 0073373591 Copyright year: 2009
Table of Contents
Chapter 1: An Introduction to Business Statistics
Chapter 2: Descriptive Statistics: Tabular and
Graphical Methods
Chapter 3: Descriptive Statistics: Numerical Methods
Chapter 4 Probability
Chapter 5: Discrete Random Variables
Chapter 6: Continuous Random Variables
Chapter 7: Sampling Distributions
Chapter 8: Confidence Intervals
Chapter 9: Hypothesis Testing
Chapter 10: Statistical Inferences Based on Two Samples
Chapter 11: Experimental Design and Analysis of Variance
Chapter 12: Chi-Square Tests
Chapter 13: Simple Linear Regression Analysis
Chapter 14: Multiple Regression
Chapter 15: Model Building and Model Diagnostics
Chapter 16: Time Series Forecasting
Chapter 17: Process Improvement Using Control Charts
Chapter 18: Nonparametric Methods
Chapter 19: Decision Theory
Appendix A: Statistical Tables
Appendix B: Counting Rules
Appendix C: The Hypergeometric Distribution
Appendix D: Properties of the Mean and the Variance
of a Random Variable, and the Covariance
Appendix E: Derivations of the Mean and Variance of (0.0K) and (0.0K) Answers to Most Odd-Numbered Exercises References Photo Credits Index Answers to Most Odd-Numbered Exercises References Index Appendix F: (Part 1):Stratified Random Sampling
Appendix F: (Part 2):Cluster Sampling and Ratio Estimation
Appendix G:Using Matrix Algebra to Perform Regression Calculations
Appendix H:The Regression Approach to Two-Way Analysis of Variance
Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling
Appendix J:The Box–Jenkins Methodology
Appendix K:Holt–Winters’ Models
Appendix L: Individual Charts and c Charts
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