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