Describing Patterns in Data. Organizing Data: Association and Relationships. Collecting Data. Probability. Random Variables and Probability Distributions. Continuous Random Variables and Sampling Distributions. From Samples to Populations: Inferences About Means. Comparing Means. Analyzing Count Data. Simple Linear Regression. Multiple Linear Regression and Time Series Models. Management and Statistics. Appendices. Answers to Selected Exercises. Index.
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Rumsey et al. (1998) studied this question.