Efnisyfirlit

• Cover
• Title Page
• Copyright
• StatKey
• A message from the Locks
• PREFACE
• ABOUT THE AUTHORS
• UNIT A: Data
• CHAPTER 1: Collecting Data
• Section 1.1 THE STRUCTURE OF DATA
• Exercises for Section 1.1
• Section 1.2 SAMPLING FROM A POPULATION
• Exercises for Section 1.2
• Section 1.3 EXPERIMENTS AND OBSERVATIONAL STUDIES
• Exercises for Section 1.3
• Notes
• CHAPTER 2: Describing Data
• Section 2.1 CATEGORICAL VARIABLES
• Exercises for Section 2.1
• Section 2.2 ONE QUANTITATIVE VARIABLE: SHAPE AND CENTER
• Exercises for Section 2.2
• Section 2.3 ONE QUANTITATIVE VARIABLE: MEASURES OF SPREAD
• Exercises for Section 2.3
• Section 2.4 BOXPLOTS AND QUANTITATIVE/CATEGORICAL RELATIONSHIPS
• Exercises for Section 2.4
• Section 2.5 TWO QUANTITATIVE VARIABLES: SCATTERPLOT AND CORRELATION
• Exercises for Section 2.5
• Section 2.6 TWO QUANTITATIVE VARIABLES: LINEAR REGRESSION
• Exercises for Section 2.6
• Section 2.7 DATA VISUALIZATION AND MULTIPLE VARIABLES
• Exercises for Section 2.7
• Notes
• UNIT A: ESSENTIAL SYNTHESIS
• Exercises for UNIT A: Essential Synthesis
• Review Exercises for UNIT A
• UNIT B: Understanding Inference
• CHAPTER 3: Confidence Intervals
• Section 3.1 SAMPLING DISTRIBUTIONS
• Exercises for Section 3.1
• Section 3.2 UNDERSTANDING AND INTERPRETING CONFIDENCE INTERVALS
• Exercises for Section 3.2
• Section 3.3 CONSTRUCTING BOOTSTRAP CONFIDENCE INTERVALS
• Exercises for Section 3.3
• Section 3.4 BOOTSTRAP CONFIDENCE INTERVALS USING PERCENTILES
• Exercises for Section 3.4
• Notes
• CHAPTER 4: Hypothesis Tests
• Section 4.1 INTRODUCING HYPOTHESIS TESTS
• Exercises for Section 4.1
• Section 4.2 MEASURING EVIDENCE WITH P-VALUES
• Exercises for Section 4.2
• Section 4.3 DETERMINING STATISTICAL SIGNIFICANCE
• Exercises for Section 4.3
• Section 4.4 A CLOSER LOOK AT TESTING
• Exercises for Section 4.4
• Section 4.5 MAKING CONNECTIONS
• Exercises for Section 4.5
• Notes
• UNIT B: ESSENTIAL SYNTHESIS
• Exercises for UNIT B: Essential Synthesis
• Review Exercises for UNIT B
• UNIT C: Inference with Normal and t-Distributions
• CHAPTER 5: Approximating with a Distribution
• Section 5.1 HYPOTHESIS TESTS USING NORMAL DISTRIBUTIONS
• Exercises for Section 5.1
• Section 5.2 CONFIDENCE INTERVALS USING NORMAL DISTRIBUTIONS
• Exercises for Section 5.2
• Notes
• CHAPTER 6: Inference for Means and Proportions
• Section 6.1-D DISTRIBUTION OF A PROPORTION
• Exercises for Section 6.1-D
• Section 6.1-CI CONFIDENCE INTERVAL FOR A PROPORTION
• Exercises for Section 6.1-CI
• Section 6.1-HT HYPOTHESIS TEST FOR A PROPORTION
• Exercises for Section 6.1-HT
• Section 6.2-D DISTRIBUTION OF A MEAN
• Exercises for Section 6.2-D
• Section 6.2-CI CONFIDENCE INTERVAL FOR A MEAN
• Exercises for Section 6.2-CI
• Section 6.2-HT HYPOTHESIS TEST FOR A MEAN
• Exercises for Section 6.2-HT
• Section 6.3-D DISTRIBUTION OF A DIFFERENCE IN PROPORTIONS
• Exercises for Section 6.3-D
• Section 6.3-CI CONFIDENCE INTERVAL FOR A DIFFERENCE IN PROPORTIONS
• Exercises for Section 6.3-CI
• Section 6.3-HT HYPOTHESIS TEST FOR A DIFFERENCE IN PROPORTIONS
• Exercises for Section 6.3-HT
• Section 6.4-D DISTRIBUTION OF A DIFFERENCE IN MEANS
• Exercises for Section 6.4-D
• Section 6.4-CI CONFIDENCE INTERVAL FOR A DIFFERENCE IN MEANS
• Exercises for Section 6.4-CI
• Section 6.4-HT HYPOTHESIS TEST FOR A DIFFERENCE IN MEANS
• Exercises for Section 6.4-HT
• Section 6.5 PAIRED DIFFERENCE IN MEANS
• Exercises for Section 6.5
• Notes
• UNIT C: ESSENTIAL SYNTHESIS
• Exercises for UNIT C: Essential Synthesis
• Review Exercises for UNIT C
• UNIT D: Inference for Multiple Parameters
• CHAPTER 7: Chi-Square Tests for Categorical Variables
• Section 7.1 TESTING GOODNESS-OF-FIT FOR A SINGLE CATEGORICAL VARIABLE
• Exercises for Section 7.1
• Section 7.2 TESTING FOR AN ASSOCIATION BETWEEN TWO CATEGORICAL VARIABLES
• Exercises for Section 7.2
• Notes
• CHAPTER 8: ANOVA to Compare Means
• Section 8.1 ANALYSIS OF VARIANCE
• Exercises for Section 8.1
• Section 8.2 PAIRWISE COMPARISONS AND INFERENCE AFTER ANOVA
• Exercises for Section 8.2
• Notes
• CHAPTER 9: Inference for Regression
• Section 9.1 INFERENCE FOR SLOPE AND CORRELATION
• Exercises for Section 9.1
• Section 9.2 ANOVA FOR REGRESSION
• Exercises for Section 9.2
• Section 9.3 CONFIDENCE AND PREDICTION INTERVALS
• Exercises for Section 9.3
• Notes
• CHAPTER 10: Multiple Regression
• Section 10.1 MULTIPLE PREDICTORS
• Exercises for Section 10.1
• Section 10.2 CHECKING CONDITIONS FOR A REGRESSION MODEL
• Exercises for Section 10.2
• Section 10.3 USING MULTIPLE REGRESSION
• Exercises for Section 10.3
• Notes
• UNIT D: ESSENTIAL SYNTHESIS
• Exercises for UNIT D: Essential Synthesis
• Review Exercises for UNIT D
• THE BIG PICTURE: ESSENTIAL SYNTHESIS
• CHAPTER P: Probability Basics
• Section P.1 PROBABILITY RULES
• Exercises for Section P.1
• Section P.2 TREE DIAGRAMS AND BAYES’ RULE
• Exercises for Section P.2
• Section P.3 RANDOM VARIABLES AND PROBABILITY FUNCTIONS
• Exercises for Section P.3
• Section P.4 BINOMIAL PROBABILITIES
• Exercises for Section P.4
• Section P.5 DENSITY CURVES AND THE NORMAL DISTRIBUTION
• Exercises for Section P.5
• Notes
• APPENDIX A: Chapter Summaries
• APPENDIX B: Selected Dataset Descriptions
• GENERAL INDEX
• DATA INDEX
• End User License Agreement