Business statistics by example, Volume 1
Gathering and interpreting statistics to diagnose problems and evaluate results in the business environment is an important skill that is more easily learned in the context of real applications, cases, and projects. This thorough introduction to business statistics introduces every topic with real examples and data sets from today's business world, and features menu-driven, user-friendly ASP statistical software that performs all necessary statistical computations, allowing readers to concentrate on interpretations. An abundance of practice exercises focuses on both mechanics applications. Comprehensive coverage surveys the full range of statistical topics and provides a thorough exploration of statistical computing -- with computer printouts for SAS, MINITAB, and SPSS, integrated throughout, and optional computer applications for each chapter -- with SAS, MINITAB, and SPSS commands. Real data sets include appraisals and sale prices for residential property sales; Business Week's executive compensation scoreboard, 1994; characteristics of HMO physicians in a managed-care system; Federal Trade Commission rankings of 372 cigarette brands. In addition to the new accompanying software, the Fifth Edition provides updated case studies, examples, and exercises based on studies reported in recent magazine, journal and news articles. For business personnel who want a comprehensive, applied introduction to business
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25 Sale Prices Analysis of Variance ANOVA Appendix A.1 ASCII asvo bar charts BEGIN DATA box plot Command Line completely randomized design confidence interval contingency table Data entry instructions Data from Example Data from Table Data in Table Data Matrix data set Descriptive Statistics displayed in Figure END DATA entry instruction Input Error frequency histogram Friedman test Input data values instruction Input data Kruskal-Wallis test Logistic Regression MAIN MENU Matched Pairs Mean median MINITAB commands MINITAB Printout Produced MODEL Multiple Regression NBRHOOD Nonparametric Tests normal probability plot observation per line option output for Program P-VALUE predicted Printout for Program Prob PROC Produced by Program random numbers rank sum test regression analysis Regression and Residual Residual Analysis SALEPRIC SAS commands SAS Printout Produced shown in Figure Simple Linear Regression SPSS commands SPSS Printout Produced statement stem-and-leaf display T-TEST Test Data tutorial Two-Sample values 1 observation Wilcoxon rank sum