StatisticsThis resource emphasizes statistical inference and sound decision-making through its extensive coverage of data collection and analysis. As in earlier editions, it helps develop statistical thinking and promotes inference assessment- from the vantage point of both the consumer and the producer. Includes new Three-phased Examples that contain three components: "problem," "solution," and "look back." Provides Now Work exercises that follow each example, suggesting an end-of-section exercise that is similar in style and concept to the example. Offers new Chapter Summary Notes along with end-of- chapter material. Provides new Critical Thinking Challenges. A comprehensive resource for anyone who needs to improve their understanding of statistics. |
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alternative hypothesis ANOVA approximately Assume average Bonferroni box plot brand calculate Chapter completely randomized design conducted confidence interval data provide sufficient data set degrees of freedom determine drug equal error estimate evidence to indicate example experimental units F-test factorial experiment factors frequency histogram given graph independent inference Interpret Learning the Mechanics least squares line level of significance mean and standard median Minitab mound-shaped n₁ n₂ normal distribution null and alternative null hypothesis observed significance level p-value p₁ percentage population mean prediction probability distribution procedure proportion provide sufficient evidence random sample random variable randomized block design randomly selected rank sum Refer to Exercise Rejection region response sample mean sample statistic sampling distribution shown in Figure simple events SS(Total standard deviation stem-and-leaf display Sum of Squares Suppose test statistic treatment means two-tailed variance Wilcoxon z-score