About the Authors About This Supplemental Guide PART I. ANALYSIS IN FOCUS: R R in Focus To the Student-How to Use R With This Book 1.7 Entering and Defining Variables (p. 24) 2.4 Frequency Distributions for Quantitative Data (p. 47) 2.7 Frequency Distributions for Categorical Data (p. 52) 2.
11 Histograms, Bar Charts, and Pie Charts (p. 62) 3.6 Mean, Median, and Mode (p. 94) 4.10 Range, Variance, and Standard Deviation (p. 124) 5.10 Converting Raw Scores to Standard z Scores (p. 155) 6.
6 Estimating the Standard Error of the Mean (p. 178) 8.8 One-Sample t Test and Confidence Intervals (p. 244) 9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270) 10.7 The Related-Samples t Test and Confidence Intervals (p. 298) 11.
5 The One-Way Between-Subjects ANOVA (p. 332) 11.9 The One-Way Within-Subjects ANOVA (p. 348) 12.7 The Two-Way Between-Subjects ANOVA (p. 393) 13.4 Pearson Correlation Coefficient (p. 419) 13.
7 Computing the Alternatives to Pearson (p. 432) 13.11 Analysis of Regression (p. 445) 14.3 The Chi-Square Goodness-of-Fit Test (p. 468) 14.7 The Chi-Square Test for Independence (p. 480) General Instructions Guide PART II.
ANALYSIS IN FOCUS: SAS SAS in Focus To the Student-How to Use SAS With This Book 1.7 Entering and Defining Variables (p. 24) 2.4 Frequency Distributions for Quantitative Data (p. 47) 2.7 Frequency Distributions for Categorical Data (p. 52) 2.11 Histograms, Bar Charts, and Pie Charts (p.
62) 3.6 Mean, Median, and Mode (p. 94) 4.10 Range, Variance, and Standard Deviation (p. 124) 5.10 Converting Raw Scores to Standard z Scores (p. 155) 6.6 Estimating the Standard Error of the Mean (p.
178) 8.8 One-Sample t Test and Confidence Intervals (p. 244) 9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270) 10.7 The Related-Samples t Test and Confidence Intervals (p. 298) 11.5 The One-Way Between-Subjects ANOVA (p.
332) 11.9 The One-Way Within-Subjects ANOVA (p. 348) 12.7 The Two-Way Between-Subjects ANOVA (p. 393) 13.4 Pearson Correlation Coefficient (p. 419) 13.7 Computing the Alternatives to Pearson (p.
432) 13.11 Analysis of Regression (p. 445) 14.3 The Chi-Square Goodness-of-Fit Test (p. 468) 14.7 The Chi-Square Test for Independence (p. 480) General Instructions Guide PART III. ANALYSIS IN FOCUS: STATA Stata in Focus To the Student-How to Use Stata With This Book 1.
7 Entering and Defining Variables (p. 24) 2.4 Frequency Distributions for Quantitative Data (p. 47) 2.7 Frequency Distributions for Categorical Data (p. 52) 2.11 Histograms, Bar Charts, and Pie Charts (p. 62) 3.
6 Mean, Median, and Mode (p. 94) 4.10 Range, Variance, and Standard Deviation (p. 124) 5.10 Converting Raw Scores to Standard z Scores (p. 155) 6.6 Estimating the Standard Error of the Mean (p. 178) 8.
8 One-Sample t Test and Confidence Intervals (p. 244) 9.8 Two-Independent-Sample t Test and Confidence Intervals (p. 270) 10.7 The Related-Samples t Test and Confidence Intervals (p. 298) 11.5 The One-Way Between-Subjects ANOVA (p. 332) 11.
9 The One-Way Within-Subjects ANOVA (p. 348) 12.7 The Two-Way Between-Subjects ANOVA (p. 393) 13.4 Pearson Correlation Coefficient (p. 419) 13.7 Computing the Alternatives to Pearson (p. 432) 13.
11 Analysis of Regression (p. 445) 14.3 The Chi-Square Goodness-of-Fit Test (p. 468) 14.7 The Chi-Square Test for Independence (p. 480) General Instructions Guide References Index.