07242cam a2200949 i 4500 ocn862222319 OCoLC 20171105115334.0 m o d cr ||||||||||| 131105s2014 enk ob 001 0 eng 2013044439 9781118762615 (ePub) 1118762614 (ePub) 9781118762608 (Adobe PDF) 1118762606 (Adobe PDF) 9781118762585 1118762584 9781119950219 (hardback) 111995021X 9781306322645 1306322642 CHNEW 000694177 CHNEW 000694181 DEBBG BV042682854 DEBSZ 405575394 DEBSZ 420031030 DEBSZ 431612757 DEBSZ 446580554 NZ1 15359254 NZ1 15952769 DEBSZ 449409961 DEBBG BV043607217 DEBBG BV043396326 CHVBK 374456887 CHNEW 000886769 (OCoLC)862222319 (OCoLC)895075972 (OCoLC)905230073 (OCoLC)930714592 (OCoLC)966386190 60E90918-4D9E-4544-827E-9806B2ACE14A OverDrive, Inc. http://www.overdrive.com DLC eng rda pn DLC YDX N$T IDEBK EBLCP DG1 YDXCP MEAUC RECBK E7B CUS COO TEFOD DEBSZ BEDGE IUL AUD OCLCF TEFOD UMI DEBBG OCLCQ pcc MAIN QA277 MAT 003000 bisacsh MAT 029000 bisacsh 519.50285/5133 23 MAT029000 bisacsh Taeger, Dirk, author. Statistical hypothesis testing with SAS and R / Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany. [electronic resource] Chichester, West Sussex : Wiley, 2014. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Cover; Title Page; Copyright; Contents; Preface; Part I Introduction; Chapter 1 Statistical hypothesis testing; 1.1 Theory of statistical hypothesis testing; 1.2 Testing statistical hypothesis with SAS and R; 1.2.1 Programming philosophy of SAS and R; 1.2.2 Testing in SAS and R-An example; 1.2.3 Calculating p-values; 1.3 Presentation of the statistical tests; References; Part II Normal Distribution; Chapter 2 Tests on the mean; 2.1 One-sample tests; 2.1.1 z-test; 2.1.2 t-test; 2.2 Two-sample tests; 2.2.1 Two-sample z-test; 2.2.2 Two-sample pooled t-test; 2.2.3 Welch test; 2.2.4 Paired z-test. 2.2.5 Paired t-testReferences; Chapter 3 Tests on the variance; 3.1 One-sample tests; 3.1.1 x2-test on the variance (mean known); 3.1.2 x2-test on the variance (mean unknown); 3.2 Two-sample tests; 3.2.1 Two-sample F-test on variances of two populations; 3.2.2 t-test on variances of two dependent populations; References; Part III Binomial Distribution; Chapter 4 Tests on proportions; 4.1 One-sample tests; 4.1.1 Binomial test; 4.2 Two-sample tests; 4.2.1 z-test for the difference of two proportions (unpooled variances); 4.2.2 z-test for the equality between two proportions (pooled variances). 4.3 K-sample tests4.3.1 K-sample binomial test; References; Part IV Other Distributions; Chapter 5 Poisson distribution; 5.1 Tests on the Poisson parameter; 5.1.1 z-test on the Poisson parameter; 5.1.2 Exact test on the Poisson parameter; 5.1.3 z-test on the difference between two Poisson parameters; References; Chapter 6 Exponential distribution; 6.1 Test on the parameter of an exponential distribution; 6.1.1 z-test on the parameter of an exponential distribution; Reference; Part V Correlation; Chapter 7 Tests on association; 7.1 One-sample tests. 7.1.1 Pearson's product moment correlation coefficient7.1.2 Spearman's rank correlation coefficient; 7.1.3 Partial correlation; 7.2 Two-sample tests; 7.2.1 z-test for two correlation coefficients (independent populations); References; Part VI Nonparametric Tests; Chapter 8 Tests on location; 8.1 One-sample tests; 8.1.1 Sign test; 8.1.2 Wilcoxon signed-rank test; 8.2 Two-sample tests; 8.2.1 Wilcoxon rank-sum test (Mann-Whitney U test); 8.2.2 Wilcoxon matched-pairs signed-rank test; 8.3 K-sample tests; 8.3.1 Kruskal-Wallis test; References; Chapter 9 Tests on scale difference. 9.1 Two-sample tests9.1.1 Siegel-Tukey test; 9.1.2 Ansari-Bradley test; 9.1.3 Mood test; References; Chapter 10 Other tests; 10.1 Two-sample tests; 10.1.1 Kolmogorov-Smirnov two-sample test (Smirnov test); References; Part VII Goodness-of-Fit Tests; Chapter 11 Tests on normality; 11.1 Tests based on the EDF; 11.1.1 Kolmogorov-Smirnov test (Lilliefors test for normality); 11.1.2 Anderson-Darling test; 11.1.3 Cramér-von Mises test; 11.2 Tests not based on the EDF; 11.2.1 Shapiro-Wilk test; 11.2.2 Jarque-Bera test; References; Chapter 12 Tests on other distributions; 12.1 Tests based on the EDF. "This book provides a reference guide to statistical tests and their application to data using SAS and R.A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters"-- Provided by publisher. "Presents a comprehensive guide to hypothesis testing using SAS and R"-- Provided by publisher. Print version record and CIP data provided by publisher. Statistical hypothesis testing. SAS (Computer program language) R (Computer program language) MATHEMATICS Probability & Statistics General. bisacsh Tests statistiques. eclas Langages de programmation. eclas Programmation informatique. eclas Modèles mathématiques. eclas Manuels. eclas R (Computer program language) fast (OCoLC)fst01086207 SAS (Computer program language) fast (OCoLC)fst01738546 Statistical hypothesis testing. fast (OCoLC)fst01132063 MATHEMATICS / Probability & Statistics / General. Electronic books. Electronic books. Kuhnt, Sonja, author. Print version: Taeger, Dirk, author. Statistical hypothesis testing with SAS and R. Hoboken, NJ : John Wiley & Sons Inc., 2014 9781119950219 (DLC) 2013041089 http://onlinelibrary.wiley.com/book/10.1002/9781118762585 Wiley Online Library ddc BK 207073 207073