Essentials of Statistics for the Behavioral Sciences, 9th Edition By Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano |

Essentials of Statistics for the Behavioral Sciences, 9th Edition By Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano | eBook [PDF] Contents Preface Chapter 1: Introduction to Statistics Statistics, Science, a ...

Essentials of Statistics for the Behavioral Sciences, 9th Edition By Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano | eBook [PDF] Contents Preface Chapter 1: Introduction to Statistics Statistics, Science, and Observations Variables and Measurement Three Data Structures, Research Methods, and Statistics Statistical Notation Summary Focus on Problem Solving Demonstration 1.1 Problems Chapter 2: Frequency Distributions Frequency Distributions and Frequency Distribution Tables Grouped Frequency Distribution Tables Frequency Distribution Graphs Summary Focus on Problem Solving Demonstration 2.1 Problems Chapter 3: Central Tendency Overview The Mean The Median The Mode Central Tendency and the Shape of the Distribution Selecting a Measure of Central Tendency Summary Focus on Problem Solving Demonstration 3.1 Problems Chapter 4: Variability Introduction to Variability Defining Variance and Standard Deviation Measuring Variance and Standard Deviation for a Population Measuring Variance and Standard Deviation for a Sample Sample Variance as an Unbiased Statistic More about Variance and Standard Deviation Summary Focus on Problem Solving Demonstration 4.1 Problems Chapter 5: Scores: Location of Scores and Standardized Distributions Introduction z-Scores and Locations in a Distribution Other Relationships between z, X, the Mean, and the Standard Deviation Using z-Scores to Standardize a Distribution Other Standardized Distributions Based on z-Scores Looking Ahead to Inferential Statistics Summary Focus on Problem Solving Demonstration 5.1 Demonstration 5.2 Problems Chapter 6: Probability Introduction to Probability Probability and the Normal Distribution Probabilities and Proportions for Scores from a Normal Distribution Looking Ahead to Inferential Statistics Summary Focus on Problem Solving Demonstration 6.1 Problems Chapter 7: Probability and Samples: The Distribution of Sample Means Samples, Populations, and the Distribution of Sample Means Shape, Central Tendency, and Variability for the Distribution of Sample Means z-Scores and Probability for Sample Means More about Standard Error Looking Ahead to Inferential Statistics Summary Focus on Problem Solving Demonstration 7.1 Problems Chapter 8: Introduction to Hypothesis Testing The Logic of Hypothesis Testing Uncertainty and Errors in Hypothesis Testing More about Hypothesis Tests Directional (One-Tailed) Hypothesis Tests Concerns about Hypothesis Testing: Measuring Effect Size Statistical Power Summary Focus on Problem Solving Demonstration 8.1 Problems Chapter 9: Introduction to the t Statistic The t Statistic: An Alternative to z Hypothesis Tests with the t Statistic Measuring Effect Size for the t Statistic Directional Hypotheses and One-Tailed Tests Summary Focus on Problem Solving Demonstration 9.1 Problems Chapter 10: The t Test for Two Independent Samples Introduction to the Independent-Measures Design The Hypotheses and the Independent-Measures t Statistic Hypothesis Tests with the Independent-Measures t Statistic Effect Size and Confidence Intervals for the Independent-Measures t The Role of Sample Variance and Sample Size in the Independent-Measures t Test Summary Focus on Problem Solving Demonstration 10.1 Problems Chapter 11: The t Test for Two Related Samples Introduction to Repeated-Measures Designs The t Statistic for a Repeated-Measures Research Design Hypothesis Tests for the Repeated-Measures Design Effect Size, Confidence Intervals, and the Role of Sample Size and Sample Variance for the Repeated- Comparing Repeated and Independent-Measures Designs Summary Focus on Problem Solving Demonstration 11.1 Demonstration 11.2 Problems Chapter 12: Introduction to Analysis of Variance Introduction (An Overview of Analysis of Variance) The Logic of Analysis of Variance ANOVA Notation and Formulas Examples of Hypothesis Testing and Effect Size with ANOVA Post Hoc Tests More about ANOVA Summary Focus on Problem Solving Demonstration 12.1 Demonstration 12.2 Problems Chapter 13: Repeated-Measures and Two-Factor Analysis of Variance Introduction to the Repeated-Measures ANOVA Hypothesis Testing and Effect Size with the Repeated-Measures ANOVA More about the Repeated-Measures Design An Overview of the Two-Factor, Independent-Measures ANOVA An Example of the Two-Factor ANOVA and Effect Size Summary Focus on Problem Solving Demonstration 13.1 Demonstration 13.2 Problems Chapter 14: Correlation and Regression Introduction The Pearson Correlation Using and Interpreting the Pearson Correlation Hypothesis Tests with the Pearson Correlation Alternatives to the Pearson Correlation Introduction to Linear Equations and Regression Summary Focus on Problem Solving Demonstration 14.1 Problems Chapter 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence Introduction to Chi-Square: The Test for Goodness of Fit An Example of the Chi-Square Test for Goodness of Fit The Chi-Square Test for Independence Effect Size and Assumptions for the Chi-Square Tests The Relationship between Chi-Square and Other Statistical Procedures Summary Focus on Problem Solving Demonstration 15.1 Demonstration 15.2 Problems Appendixes Appendix A: Basic Mathematics Review A-1 Symbols and Notation A-2 Proportions: Fractions, Decimals, and Percentages A-3 Negative Numbers A-4 Basic Algebra: Solving Equations A-5 Exponents and Square Roots Appendix B: Statistical Tables Appendix C: Solutions for Odd-Numbered Appendix D: General Instructions for Using SPSS Statistics Organizer: Finding the Right Statistics for Your Data References Name Index Subject Index