INTERMEDIATE STATISTICS

By X. LULIS

CONTENTS INTRODUCTION PART I: DATA ANALYSIS AND MODEL-BUILDING BASICS CHAPTER 1: BEYOND NUMBER CRUNCHING: THE ART AND SCIENCE OF DATA ANALYSIS CHAPTER 2: SORTING THROUGH STATISTICAL TECHNIQUES CHAPTER 3: BUILDING CONFIDENCE AND TESTING MODELS PART II: MAKING PREDICTIONS BY USING REGRESSION CHAPTER 4: GETTING IN LINE WITH SIMPLE LINEAR REGRESSION CHAPTER 5: WHEN TWO VARIABLES ARE BETTER THAN ONE: MULTIPLE REGRESSION CHAPTER 6: ONE STEP FORWARD AND TWO STEPS BACK: REGRESSION MODEL SELECTION CHAPTER 7: WHEN DATA THROWS YOU A CURVE: USING NONLINEAR REGRESSION CHAPTER 8: YES, NO, MAYBE SO: MAKING PREDICTIONS BY USING LOGISTIC REGRESSION PART III: COMPARING MANY MEANS WITH ANOVA CHAPTER 9: GOING ONE-WAY WITH ANALYSIS OF VARIANCE CHAPTER 10: PAIRING THINGS DOWN WITH MULTIPLE COMPARISONS CHAPTER 11: GETTING A LITTLE INTERACTION WITH TWO-WAY ANOVA CHAPTER 12: ROCK MY WORLD: RELATING REGRESSION TO ANOVA PART IV: BUILDING STRONG CONNECTIONS WITH CHI-SQUARE TESTS CHAPTER 13: FORMING ASSOCIATIONS WITH TWO-WAY TABLES CHAPTER 14: BEING INDEPENDENT ENOUGH FOR THE CHI-SQUARE TEST CHAPTER 15: USING CHI-SQUARE TESTS FOR GOODNESS-OF-FIT (YOUR DATA, NOT YOUR JEANS) PART V: REBELS WITHOUT A DISTRIBUTION CHAPTER 16: GOING NONPARAMETRIC CHAPTER 17: THE SIGN TEST AND SIGNED RANK TEST CHAPTER 18: PULLING RANK WITH THE RANK SUM TEST CHAPTER 19: DO THE KRUSKAL-WALLIS AND RANK THE SUMS WITH WILCOX CHAPTER 20: POINTING OUT CORRELATIONS WITH SPEARMAN’S RANK PART VI: THE PART OF TENS CHAPTER 21: TEN ERRORS IN STATISTICAL CONCLUSIONS CHAPTER 22: TEN PRACTICE PROBLEMS