SAS_Education Statistics I Introduction to ANOVA, Regression, and Logistic Regre

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<div style="FLOAT: right;"><iframe marginwidth="0" framespacing="0" marginheight="0" src="http://gg.pinggu.org/peixun.html" frameborder="0" width="220" scrolling="no" height="140"></iframe></div><p>包括数据集，程序，和PDF正文文档。</p><p>Table of Contents<br/>Course<br/>Description......................................................................................................................<br/>v<br/>Prerequisites<br/>...............................................................................................................................<br/>vi<br/>Module 1 Descriptive Statistics for Continuous and Categorical Data............ 1-1<br/>1.1 Fundamental Statistical Concepts ....................................................................................1-2<br/>1.2 Examining Distributions ................................................................................................1-13<br/>1.3<br/>Confidence Intervals<br/>......................................................................................................1-35<br/>1.4 Descriptive Statistics with Categorical Data..................................................................1-45<br/>Module 2 Hypothesis Testing and Analysis of Variance ................................... 2-1<br/>2.1<br/>Hypothesis<br/>Testing...........................................................................................................2-2<br/>2.2 One-Way ANOVA: Two Populations.............................................................................2-20<br/>2.3 Design of Experiments...................................................................................................2-50<br/>2.4 One-Way ANOVA: More than Two Populations ...........................................................2-58<br/>Module 3 Multiple Comparisons, Nonparametric ANOVA, and Regression .... 3-1<br/>3.1<br/>Multiple<br/>Comparisons......................................................................................................3-2<br/>3.2 Nonparametric ANOVA.................................................................................................3-18<br/>3.3 Exploratory Data Analysis for Linear Regression .........................................................3-33<br/>3.4 Simple Linear Regression ..............................................................................................3-53<br/>3.5 Concepts of Multiple Regression...................................................................................3-71<br/>Module 4 Model Building and Assumption Verification .................................... 4-1<br/>4.1 Model Building and Interpretation...................................................................................4-2<br/>4.2<br/>Examining Residuals<br/>.....................................................................................................4-20<br/>iv For Your Information<br/>4.3<br/>Influential<br/>Observations.................................................................................................4-33<br/>4.4<br/>Collinearity<br/>....................................................................................................................4-41<br/>Module 5 Tests of Association and Logistic Regression .................................. 5-1<br/>5.1<br/>Tests of Association<br/>.........................................................................................................5-2<br/>5.2 Introduction to Logistic Regression...............................................................................5-25<br/>Appendix A Self-Study............................................................................................. A-1<br/>A.1<br/>Two-Sample<br/>t-Tests.........................................................................................................A-2<br/>A.2 Output Delivery System................................................................................................A-16<br/>Appendix B Sampling Macros................................................................................. B-1<br/>B.1<br/>Random Samples<br/>............................................................................................................B-2<br/>Appendix C Percentile Definitions.......................................................................... C-1<br/>C.1<br/>Calculating<br/>Percentiles....................................................................................................<br/>C-2<br/>Appendix D Advanced Programs............................................................................ D-1<br/>D.1<br/>Interaction<br/>Plot................................................................................................................D-2<br/>Appendix E Randomization Technique...................................................................E-1<br/>E.1<br/>Randomize<br/>Paints............................................................................................................<br/>E-2</p><br/><br/>

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关键词：introduction troduction Statistics regression statistic SAS Statistics notes regression introduction

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