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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Statistics Data and Statistical Thinking
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Action Revisited alternative hypothesis ANOVA Applying the Concepts—Basic Applying the Concepts—Intermediate approximately normal Arrow Assume assumptions average binomial distribution binomial random variable box plot brand Calculate completely randomized design conducted confidence interval continuous random variables data set dialog box difference discrete random variable drug equal estimate event example experiment experimental units F-test Find the probability formula graph highlighted histogram inference Interpret the result Journal large-sample Learning the Mechanics mean and standard measurements median method MINITAB MINITAB printout normal distribution normal probability Note null hypothesis obtained p-value patients percentage Poisson population mean Press ENTER probability distribution Problem proportion random sample randomly selected rejection region relative frequency researchers sample mean sample points sample statistic sampling distribution score shown in Figure standard deviation standard normal Statistics in Action summary Suppose survey Table test of hypothesis test statistic tion treatment means true variance z-score