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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Page 335
... estimate a binomial proportion p correct to within .02 with probability equal to .90 . a . Assume you know p is near .8 . b . Assume you have no knowledge of the value of p , but you wish to be certain that your sample is large enough ...
... estimate a binomial proportion p correct to within .02 with probability equal to .90 . a . Assume you know p is near .8 . b . Assume you have no knowledge of the value of p , but you wish to be certain that your sample is large enough ...
Page 336
... estimates and interval estimates . Point estimates are single points calculated from a sample to estimate a population parameter . Because we cannot assess the reliability of a point estimate , we prefer to use intervals to estimate the ...
... estimates and interval estimates . Point estimates are single points calculated from a sample to estimate a population parameter . Because we cannot assess the reliability of a point estimate , we prefer to use intervals to estimate the ...
Page 340
... estimate the mean of all claims submitted by this hospital . b . What assumptions are necessary to assure the validity of this confidence interval ? 7.92 Refer to Exercise 7.91 . a . How many claims must be sampled if the HRS wants to ...
... estimate the mean of all claims submitted by this hospital . b . What assumptions are necessary to assure the validity of this confidence interval ? 7.92 Refer to Exercise 7.91 . a . How many claims must be sampled if the HRS wants to ...
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Common terms and phrases
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