Essential Statistical Analysis 'In Focus' : Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences / Privitera, Gregory J./ Sotak, Kristin L./ Lei, Yu

Essential Statistical Analysis 'In Focus' : Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences （2ND）

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Essential Statistical Analysis 'In Focus' : Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences （2ND）

Privitera, Gregory J./ Sotak, Kristin L./ Lei, Yu

ウェブストア価格 ¥16,988（本体¥15,444）
SAGE Publications Inc（2018/08発売）
外貨定価 UK£ 60.00
ポイント 154pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 216 p.
言語 ENG
商品コード 9781544325842
DDC分類 519.5

Full Description

Essentials of Statistical Analysis "In Focus" supports users of Gregory J. Privitera's Essential Statistics for the Behavioral Sciences, Second 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.

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