This 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 Assume assumptions box plot brand calculate Chapter coefficient completely randomized design conducted confidence interval data provide sufficient data set degrees of freedom determine drug equal error evidence to indicate example experiment F statistic F Value F-test factors Find the probability frequency histogram graph independent variables inference Interpret Learning the Mechanics least squares least squares line mean and standard measurements median Minitab normal distribution null and alternative null hypothesis observed significance level p-value parameters percentage plot population mean prediction interval probability distribution procedure provide sufficient evidence random sample random variable randomly selected Refer to Exercise regression model reject H0 rejection region relative frequency response sample mean sample statistic sampling distribution scores shown in Figure simple events Source df standard deviation Sum of Squares Suppose Test H0 test statistic test the null treatment means two-tailed