Statistical Hypothesis Testing with SAS and R

Inbunden, Engelska, 2014

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A comprehensive guide to statistical hypothesis testing with examples in SAS and RWhen analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R?If so, how do I use it?If not, how do I program the test myself?This book answers these questions and provides an overview of the most commonstatistical test problems in a comprehensive way, making it easy to find and performan appropriate statistical test.A general summary of statistical test theory is presented, along with a basicdescription for each test, including the necessary prerequisites, assumptions, theformal test problem and the test statistic. Examples in both SAS and R are provided,along with program code to perform the test, resulting output and remarksexplaining the necessary program parameters.Key features:• Provides examples in both SAS and R for each test presented.• Looks at the most common statistical tests, displayed in a clear and easy to follow way.• Supported by a supplementary website http://www.d-taeger.de featuring exampleprogram code.Academics, practitioners and SAS and R programmers will find this book a valuableresource. Students using SAS and R will also find it an excellent choice for referenceand data analysis.

Produktinformation

Utgivningsdatum2014-03-12
Mått178 x 252 x 20 mm
Vikt626 g
FormatInbunden
SpråkEngelska
Antal sidor312
FörlagJohn Wiley & Sons Inc
ISBN9781119950219

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Matematisk statistik inom Naturvetenskap och teknik

Preface xiiiPart I INTRODUCTION 11 Statistical hypothesis testing 31.1 Theory of statistical hypothesis testing 31.2 Testing statistical hypothesis with SAS and R 41.3 Presentation of the statistical tests 13References 15Part II NORMAL DISTRIBUTION 172 Tests on the mean 192.1 One-sample tests 192.2 Two-sample tests 23References 353 Tests on the variance 363.1 One-sample tests 363.2 Two-sample tests 41References 47Part III BINOMIAL DISTRIBUTION 494 Tests on proportions 514.1 One-sample tests 514.2 Two-sample tests 554.3 K-sample tests 62References 64Part IV OTHER DISTRIBUTIONS 655 Poisson distribution 675.1 Tests on the Poisson parameter 67References 756 Exponential distribution 766.1 Test on the parameter of an exponential distribution 76Reference 78Part V CORRELATION 797 Tests on association 817.1 One-sample tests 817.2 Two-sample tests 94References 98Part VI NONPARAMETRIC TESTS 998 Tests on location 1018.1 One-sample tests 1018.2 Two-sample tests 1108.3 K-sample tests 116References 1189 Tests on scale difference 1209.1 Two-sample tests 120References 13110 Other tests 13210.1 Two-sample tests 132References 135Part VII GOODNESS-OF-FIT TESTS 13711 Tests on normality 13911.1 Tests based on the EDF 13911.2 Tests not based on the EDF 148References 15212 Tests on other distributions 15412.1 Tests based on the EDF 15412.2 Tests not based on the EDF 164References 166Part VIII TESTS ON RANDOMNESS 16713 Tests on randomness 16913.1 Run tests 16913.2 Successive difference tests 178References 185Part IX TESTS ON CONTINGENCY TABLES 18714 Tests on contingency tables 18914.1 Tests on independence and homogeneity 18914.2 Tests on agreement and symmetry 19714.3 Test on risk measures 205References 214Part X TESTS ON OUTLIERS 21715 Tests on outliers 21915.1 Outliers tests for Gaussian null distribution 21915.2 Outlier tests for other null distributions 229References 235Part XI TESTS IN REGRESSION ANALYSIS 23716 Tests in regression analysis 23916.1 Simple linear regression 23916.2 Multiple linear regression 246References 25217 Tests in variance analysis 25317.1 Analysis of variance 25317.2 Tests for homogeneity of variances 258References 263Appendix A Datasets 264Appendix B Tables 271Glossary 284Index 287