Statistical Analysis "In Focus"

Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences
Third Edition
Gregory J. Privitera - St. Bonaventure University
Kristin L. Sotak
Yu Lei
Statistical Analysis "In Focus"
December 2017 | 280 pages | Sage US
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Description

Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the “In Focus” exercises in Privitera’s core text. A conversational writing style along with “To The Student” introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.



Contents

About the Authors

About the Authors

About This Supplemental Guide

About This Supplemental Guide

PART I. ANALYSIS IN FOCUS: R

  • To the Student—How to Use R With This Book
  • R in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide

PART II. ANALYSIS IN FOCUS: SAS

  • To the Student—How to Use SAS With This Book
  • SAS in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide

PART III. ANALYSIS IN FOCUS: STATA

  • To the Student—How to Use Stata With This Book
  • Stata in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide

References

References

Index

Index

Description

Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the “In Focus” exercises in Privitera’s core text. A conversational writing style along with “To The Student” introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.



Contents

About the Authors

About the Authors

About This Supplemental Guide

About This Supplemental Guide

PART I. ANALYSIS IN FOCUS: R

  • To the Student—How to Use R With This Book
  • R in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide

PART II. ANALYSIS IN FOCUS: SAS

  • To the Student—How to Use SAS With This Book
  • SAS in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide

PART III. ANALYSIS IN FOCUS: STATA

  • To the Student—How to Use Stata With This Book
  • Stata in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide

References

References

Index

Index

SAGE Publishing Logo

Statistical Analysis "In Focus"

Alternate Guides for R, SAS, and Stata for Statistics for the Behavioral Sciences

Gregory J. Privitera , Kristin L. Sotak , Yu Lei
Cancel Print

December 2017 | 280 pages | Sage US

Format Published Date ISBN Price

Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the “In Focus” exercises in Privitera’s core text. A conversational writing style along with “To The Student” introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.




Table Of Contents:

  • About the Authors
  • About This Supplemental Guide
  • PART I. ANALYSIS IN FOCUS: R
  • To the Student—How to Use R With This Book
  • R in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide
  • PART II. ANALYSIS IN FOCUS: SAS
  • To the Student—How to Use SAS With This Book
  • SAS in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide
  • PART III. ANALYSIS IN FOCUS: STATA
  • To the Student—How to Use Stata With This Book
  • Stata in Focus
  • 1.7 Entering and Defining Variables (p. 23)
  • 2.4 Frequency Distributions for Quantitative Data (p. 46)
  • 2.7 Frequency Distributions for Categorical Data (p. 51)
  • 2.12 Histograms, Bar Charts, and Pie Charts (p. 65)
  • 3.6 Mean, Median, and Mode (p. 98)
  • 4.11 Range, Variance, and Standard Deviation (p. 129)
  • 5.6 Probability Tables (p. 152)
  • 6.8 Converting Raw Scores to Standard z Scores (p. 193)
  • 7.7 Estimating the Standard Error of the Mean (p. 227)
  • 9.6 One-Sample t Test (p. 286)
  • 9.9 Two-Independent-Sample t Test (p. 297)
  • 10.4 The Related-Samples t Test (p. 317)
  • 11.5 Confidence Intervals for the One-Sample t Test (p. 347)
  • 11.7 Confidence Intervals for the Two-Independent-Sample t Test (p. 350)
  • 11.9 Confidence Intervals for the Related-Samples t Test (p. 353)
  • 12.8 The One-Way Between-Subjects ANOVA (p. 389)
  • 13.6 The One-Way Within-Subjects ANOVA (p. 423)
  • 14.8 The Two-Way Between-Subjects ANOVA (p. 474)
  • 15.4 Pearson Correlation Coefficient (p. 501)
  • 15.8 Spearman Correlation Coefficient (p. 512)
  • 15.10 Point-Biserial Correlation Coefficient (p. 517)
  • 15.12 Phi Correlation Coefficient (p. 522)
  • 16.7 Analysis of Regression (p. 551)
  • 16.13 Multiple Regression Analysis (p. 566)
  • 17.3 The Chi-Square Goodness-of-Fit Test (p. 586)
  • 17.9 The Chi-Square Test for Independence (p. 601)
  • 18.3 The Related-Samples Sign Test (p. 621)
  • 18.5 The Wilcoxon Signed-Ranks T Test (p. 626)
  • 18.7 The Mann-Whitney U Test (p. 632)
  • 18.9 The Kruskal-Wallis H Test (p. 637)
  • 18.11 The Friedman Test (p. 641)
  • General Instruction Guide
  • References
  • Index

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