Efnisyfirlit

• Brief Contents
• Contents
• Preface
• About the Authors
• Chapter 1: Introduction to Statistics
  • Preview
  • 1-1 Statistics and Behavioral Sciences
  • 1-2 Observations, Measurement, and Variables
  • 1-3 Three Data Structures, Research Methods, and Statistics
  • 1-4 Statistical Notation
  • Summary
  • Focus on Problem Solving
  • Demonstration 1.1
  • SPSS
  • Problems
• Chapter 2: Frequency Distributions
  • Preview
  • 2-1 Frequency Distributions and Frequency Distribution Tables
  • 2-2 Grouped Frequency Distribution Tables
  • 2-3 Frequency Distribution Graphs
  • 2-4 Stem and Leaf Displays
  • Summary
  • Focus on Problem Solving
  • Demonstration 2.1
  • Demonstration 2.2
  • SPSS
  • Problems
• Chapter 3: Central Tendency
  • Preview
  • 3-1 Overview
  • 3-2 The Mean
  • 3-3 The Median
  • 3-4 The Mode
  • 3-5 Central Tendency and the Shape of the Distribution
  • 3-6 Selecting a Measure of Central Tendency
  • Summary
  • Focus on Problem Solving
  • Demonstration 3.1
  • SPSS
  • Problems
• Chapter 4: Variability
  • Preview
  • 4-1 Introduction to Variability
  • 4-2 Defining Variance and Standard Deviation
  • 4-3 Measuring Variance and Standard Deviation for a Population
  • 4-4 Measuring Variance and Standard Deviation for a Sample
  • 4-5 Sample Variance as an Unbiased Statistic
  • 4-6 More about Variance and Standard Deviation
  • Summary
  • Focus on Problem Solving
  • Demonstration 4.1
  • SPSS
  • Problems
• Chapter 5: z-Scores: Location of Scores and Standardized Distributions
  • Preview
  • 5-1 Introduction
  • 5-2 z- Scores and Locations in a Distribution
  • 5-3 Other Relationships between z, X, the Mean, and the Standard Deviation
  • 5-4 Using z-Scores to Standardize a Distribution
  • 5-5 Other Standardized Distributions Based on z- Scores
  • 5-6 Looking Ahead to Inferential Statistics
  • Summary
  • Focus on Problem Solving
  • Demonstration 5.1
  • Demonstration 5.2
  • SPSS
  • Problems
• Chapter 6: Probability
  • Preview
  • 6-1 Introduction to Probability
  • 6-2 Probability and the Normal Distribution
  • 6-3 Probabilities and Proportions for Scores from a Normal Distribution
  • 6-4 Percentiles and Percentile Ranks
  • 6-5 Looking Ahead to Inferential Statistics
  • Summary
  • Focus on Problem Solving
  • Demonstration 6.1
  • SPSS
  • Problems
• Chapter 7: Probability and Samples: The Distribution of Sample Means
  • Preview
  • 7-1 Samples, Populations, and the Distribution of Sample Means
  • 7-2 Shape, Central Tendency, and Variability for the Distribution of Sample Means
  • 7-3 z-Scores and Probability for Sample Means
  • 7-4 More about Standard Error
  • 7-5 Looking Ahead to Inferential Statistics
  • Summary
  • Focus on Problem Solving
  • Demonstration 7.1
  • SPSS
  • Problems
• Chapter 8: Introduction to Hypothesis Testing
  • Preview
  • 8-1 The Logic of Hypothesis Testing
  • 8-2 Uncertainty and Errors in Hypothesis Testing
  • 8-3 More about Hypothesis Tests
  • 8-4 Directional (One-Tailed) Hypothesis Tests
  • 8-5 Concerns about Hypothesis Testing: Measuring Effect Size
  • 8-6 Statistical Power
  • Summary
  • Focus on Problem Solving
  • Demonstration 8.1
  • Demonstration 8.2
  • Demonstration 8.3
  • SPSS
  • Problems
• Chapter 9: Introduction to the t Statistic
  • Preview
  • 9-1 The t Statistic: An Alternative to z
  • 9-2 Hypothesis Tests with the t Statistic
  • 9-3 Measuring Effect Size for the t Statistic
  • 9-4 Directional Hypotheses and One-Tailed Tests
  • Summary
  • Focus on Problem Solving
  • Demonstration 9.1
  • Demonstration 9.2
  • SPSS
  • Problems
• Chapter 10: The t Test for Two Independent Samples
  • Preview
  • 10-1 Introduction to the Independent-Measures Design
  • 10-2 The Hypotheses and the Independent-Measures t Statistic
  • 10-3 Hypothesis Tests with the Independent-Measures t Statistic
  • 10-4 Effect Size and Confidence Intervals for the Independent-Measures t
  • 10-5 The Role of Sample Variance and Sample Size in the Independent-Measures t Test
  • Summary
  • Focus on Problem Solving
  • Demonstration 10.1
  • Demonstration 10.2
  • SPSS
  • Problems
• Chapter 11: The t Test for Two Related Samples
  • Preview
  • 11-1 Introduction to Repeated-Measures Designs
  • 11-2 The t Statistic for a Repeated-Measures Research Design
  • 11-3 Hypothesis Tests for the Repeated-Measures Design
  • 11-4 Effect Size, Confidence Intervals, and the Role of Sample Size and Sample Variance for the Repe
  • 11-5 Comparing Repeated- and Independent- Measures Designs
  • Summary
  • Focus on Problem Solving
  • Demonstration 11.1
  • Demonstration 11.2
  • SPSS
  • Problems
• Chapter 12: Introduction to Analysis of Variance
  • Preview
  • 12-1 Introduction: An Overview of Analysis of Variance
  • 12-2 The Logic of Analysis of Variance
  • 12-3 ANOVA Notation and Formulas
  • 12-4 Examples of Hypothesis Testing and Effect Size with ANOVA
  • 12-5 Post Hoc Tests
  • 12-6 More about ANOVA
  • Summary
  • Focus on Problem Solving
  • Demonstration 12.1
  • Demonstration 12.2
  • SPSS
  • Problems
• Chapter 13: Two-Factor Analysis of Variance
  • Preview
  • 13-1 An Overview of the Two-Factor, Independent-Measures ANOVA
  • 13-2 An Example of the Two-Factor ANOVA and Effect Size
  • 13-3 More about the Two-Factor ANOVA
  • Summary
  • Focus on Problem Solving
  • Demonstration 13.1
  • SPSS
  • Problems
• Chapter 14: Correlation and Regression
  • Preview
  • 14-1 Introduction
  • 14-2 The Pearson Correlation
  • 14-3 Using and Interpreting the Pearson Correlation
  • 14-4 Hypothesis Tests with the Pearson Correlation
  • 14-5 Alternatives to the Pearson Correlation
  • 14-6 Introduction to Linear Equations and Regression
  • Summary
  • Focus on Problem Solving
  • Demonstration 14.1
  • SPSS
  • Problems
• Chapter 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence
  • Preview
  • 15-1 Introduction to Chi-Square: The Test for Goodness of Fit
  • 15-2 An Example of the Chi-Square Test for Goodness of Fit
  • 15-3 The Chi-Square Test for Independence
  • 15-4 Effect Size and Assumptions for the Chi-Square Tests
  • Summary
  • Focus on Problem Solving
  • Demonstration 15.1
  • Demonstration 15.2
  • SPSS
  • Problems
• Appendixes
  • Appendix A: Basic Mathematics Review
  • Appendix B: Statistical Tables
  • Appendix C: Solutions for Odd- Numbered Problems in the Text
  • Appendix D: General Instructions for Using SPSS
• Statistics Organizer: Finding the Right Statistics for Your Data
• Summary of Statistics Formulas
• References
• Name Index
• Subject Index

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