Siegel, Andrew F. 　著

内容

目次

1. Introduction: Defining the Role of Statistics in Business2. Data Structures: Classifying the Various Types of Data Sets3. Histograms: Looking at the Distribution of Data4. Landmark Summaries: Interpreting Typical Values and Percentiles5. Variability: Dealing with Diversity6. Probability: Understanding Random Situations7. Random Variables: Working with Uncertain Numbers8. Random Sampling: Planning Ahead for Data Gathering9. Confidence Intervals: Admitting that Estimates are not Exact10. Hypothesis Testing: Deciding Between Reality and Coincidence11. Correlation and Regression: Measuring and Predicting Relationships12. Multiple Regression: Predicting One Factor from Several Others13. Report Writing: Communicating the Results of a Multiple Regression14. Time Series: Understanding Changes Over Time15. Anova: Testing for Differences Among Many Samples, and Much More16. Nonparametrics: Testing with Ordinal Data or Nonnormal Distributions17. Chi-Squared Analysis: Testing for Patterns in Qualitative Data18. Quality Control: Recognizing and Managing VariationApp A. Employee DatabaseApp B. Donations Database App C. Self-Test: Solutions to Selected Problems and Database Exercises App D. Statistical TablesApp E. Statpad Quick Reference Guide