Fundamental statistics for the social and behavioral sciences. (2015)

• Record Type: Book
• Further Information: Note: Howard T. Tokunaga.
• Other Names: Tokunaga, Howard
• Contents: Chapter 1: Introduction to Statistics; 1.1 What Is Statistics?; 1.2 Why Learn Statistics?; 1.3 Introduction to the Stages of the Research Process; 1.4 Plan of the Book; Chapter 2: Examining Data: Tables and Figures; 2.1 An Example From the Research: Winning the Lottery; 2.2 Why Examine Data?; 2.3 Examining Data Using Tables; 2.4 Grouped Frequency Distribution Tables; 2.5 Examining Data Using Figures; 2.6 Examining Data: Describing Distributions; Chapter 3: Measures of Central Tendency; 3.1 An Example From the Research: The 10% Myth; 3.2 Understanding Central Tendency; 3.3 The Mode; 3.4 The Median; 3.5 The Mean; 3.6 Comparison of the Mode, Median, and Mean; 3.7 Measures of Central Tendency: Drawing Conclusions; Chapter 4: Measures of Variability; 4.1 An Example From the Research: How Many “Sometimes” in an “Always”?; 4.2 Understanding Variability; 4.3 The Range; 4.4 The Interquartile Range; 4.5 The Variance (s2); 4.6 The Standard Deviation (s); 4.7 Measures of Variability for Populations; 4.8 Measures of Variability: Drawing Conclusions; Chapter 5: Normal Distributions; 5.1 Example: SAT Scores; 5.2 Normal Distributions; 5.3 The Standard Normal Distribution; 5.4 Applying z-Scores to Normal Distributions; 5.5 Standardizing Frequency Distributions; Chapter 6: Probability and Introduction to Hypothesis Testing; 6.1 A Brief Introduction to Probability; 6.2 Example: Making Heads or Tails of the Super Bowl; 6.3 Introduction to Hypothesis Testing; 6.4 Issues Related to Hypothesis Testing: An Introduction; Chapter 7: Testing One Sample Mean; 7.1 An Example From the Research: Do You Read Me?; 7.2 The Sampling Distribution of the Mean; 7.3 Inferential Statistics: Testing One Sample Mean (s Known); 7.4 A Second Example From the Research: Unique Invulnerability; 7.5 Introduction to the t-Distribution; 7.6 Inferential Statistics: Testing One Sample Mean (s Not Known); 7.7 Factors Affecting the Decision About the Null Hypothesis; Chapter 8: Estimating the Mean of a Population; 8.1 An Example From the Research: Salary Survey; 8.2 Introduction to the Confidence Interval for the Mean; 8.3 The Confidence Interval for the Mean (s Not Known); 8.4 The Confidence Interval for the Mean (s Known); 8.5 Factors Affecting the Width of the Confidence Interval for the Mean; 8.6 Interval Estimation and Hypothesis Testing; Chapter 9: Testing the Difference Between Two Means; 9.1 An Example From the Research: You Can Just Wait; 9.2 The Sampling Distribution of the Difference; 9.3 Inferential Statistics: Testing the Difference Between Two Sample Means; 9.4 Inferential Statistics: Testing the Difference Between Two Sample Means (Unequal Sample Sizes); 9.5 Inferential Statistics: Testing the Difference Between Paired Means; Chapter 10: Errors in Hypothesis Testing, Statistical Power, and Effect Size; 10.1 Hypothesis Testing vs. Criminal Trials; 10.2 An Example From the Research: Truth or Consequences; 10.3 Two Errors in Hypothesis Testing: Type I and Type II Error; 10.4 Controlling Type I and Type II Error; 10.5 Measures of Effect Size; Chapter 11: One-Way Analysis of Variance (ANOVA); 11.1 An Example From the Research: It’s Your Move; 11.2 Introduction to Analysis of Variance (ANOVA); 11.3 Inferential Statistics: One-Way Analysis of Variance (ANOVA); 11.4 A Second Example: The Parking Lot Study Revisited; 11.5 Analytical Comparisons Within the One-Way ANOVA; Chapter 12: Two-Way Analysis of Variance (ANOVA); 12.1 An Example From the Research: Vote—or Else!; 12.2 Introduction to Factorial Research Designs; 12.3 The Two-Factor (A × B) Research Design; 12.4 Introduction to Analysis of Variance (ANOVA) for the Two-Factor Research Design; 12.5 Inferential Statistics: Two-Way Analysis of Variance (ANOVA); 12.6 Investigating a Significant A × B Interaction Effect: Analysis of Simple Effects; *********************************************************************************************************; Chapter 13: Correlation and Linear Regression; 13.1 An Example From the Research: Snap Judgment; 13.2 Introduction to the Concept of Correlation; 13.3 Inferential Statistics: Pearson Correlation Coefficient; 13.4 Predicting One Variable From Another: Linear Regression; 13.5 Correlating Two Sets of Ranks: The Spearman Rank-Order Correlation; 13.6 Correlational Statistics vs. Correlational Research; Chapter 14: Chi-Square; 14.1 An Example From the Research (One Categorical Variable): Are You My Type?; 14.2 Introduction to the Chi-Square Statistic; 14.3 Inferential Statistic: Chi-Square Goodness-of-Fit Test; 14.4 An Example From the Research (Two Categorical Variables): Seeing Red; 14.5 Inferential Statistic: Chi-Square Test of Independence; 14.6 Parametric and Nonparametric Statistical Tests;
• Publisher Details: Thousand Oaks : SAGE Publications, Inc
• Publication Date: 2015
• Extent: 1 online resource (816 pages)
• Subjects: 519.5; Social sciences -- Statistical methods; Psychology -- Statistical methods
• Languages: English
• ISBNs: 9781483318806
• Related ISBNs: 148331880X
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.