Introductory StatisticsWeiss Introductory Statistics is intended for a one- or two-semester introductory statistics course. Students learn the core statistical concepts in an applied setting, and can access more advanced topics (multiple regression, ANOVA, and Experimental Design) through chapters available on the WeissStat CD. With advances in technology and new insights into the practice of teaching statistics, the sixth edition can now easily fit the organization and pace of various course syllabi and technologies in use. The book offers a flexible organization of content and has a more diversified emphasis on using technology such as Minitab, the TI-83 Plus graphing calculator, Excel, and the Internet to investigate statistical problems. *NEW All New Design. We have redesigned the text and now feature a four-color format for improved readability and understanding. *NEW What Does It Mean? This feature, which appears throughout the book, presents the meaning and significance of the statistical results in plain, everyday language and emphasizes the importance of interpretation. *NEW Technology Coverage. Students are introduced to technology at the section level with Minitab, Excel, and the TI-83 Plus |
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answers Exercises ANSWERS TO EXERCISES binomial Brand calculated CHAPTER 4 ANSWERS class limit coefficient of determination column headed command confidence interval critical value data in Exercise data set data values decision rule defining formula difference equal error event evidence to conclude expected frequencies F-statistic figure follows food expenditure foodex frequency histogram given graph hypothesis test Minitab MSTR name Cl normally distributed Notice null hypothesis perform the hypothesis population mean population standard deviation prediction interval predictor presented in column printout probability distribution Procedure provide sufficient evidence quartile random variable regression equation reject Ho relative frequency respectively sample data sample mean sample standard deviation selected shortcut formula significance level Specifically SSTR standard normal curve STDEV STEP subcommand Substituting sum of squares test statistic text to perform total number Type II error weight x-values z-score computation ոլ