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Statistics for the Behavioral Sciences THIRD EDITION by Gregory J. Privitera EBOOK PDF Instant Download

Table of Contents

Chapter 1: Introduction to Statistics

1.1: The Use of Statistics in Science

1.2: Descriptive and Inferential Statistics

1.3: Research Methods and Statistics

1.4: Scales of Measurement

1.5: Types of Variables for Which Data Are Measured

1.6: Research in Focus: Evaluating Data and Scales of Measurement

1.7: SPSS in Focus: Entering and Defining Variables

1: End-of-Chapter Problems (7)

1: Test Bank (36)

Chapter 2: Summarizing Data: Frequency Distributions in Tables and Graphs

2.1: Why Summarize Data?

2.2: Frequency Distributions for Grouped Data

2.3: Identifying Percentile Points and Percentile Ranks

2.4: SPSS in Focus: Frequency Distributions for Quantitative Data

2.5: Frequency Distributions for Ungrouped Data

2.6: Research in Focus: Summarizing Demographic Information

2.7: SPSS in Focus: Frequency Distributions for Categorical Data

2.8: Pictorial Frequency Distributions

2.9: Graphing Distributions: Continuous Data

2.10: Graphing Distributions: Discrete and Categorical Data

2.11: Research in Focus: Frequencies and Percents

2.12: SPSS in Focus: Histograms, Bar Charts, and Pie Charts

2: End-of-Chapter Problems (14)

2: Test Bank (30)

Chapter 3: Summarizing Data: Central Tendency

3.1: Introduction to Central Tendency

3.2: Measures of Central Tendency

3.3: Characteristics of the Mean

3.4: Choosing an Appropriate Measure of Central Tendency

3.5: Research in Focus: Describing Central Tendency

3.6: SPSS in Focus: Mean, Median, and Mode

3: End-of-Chapter Problems (18)

3: Test Bank (36)

Chapter 4: Summarizing Data: Variability

4.1: Measuring Variability

4.2: The Range

4.3: Research in Focus: Reporting the Range

4.4: Quartiles and Interquartiles

4.5: The Variance

4.6: Explaining Variance for Populations and Samples

4.7: The Computational Formula for Variance

4.8: The Standard Deviation

4.9: What Does the Standard Deviation Tell Us?

4.10: Characteristics of the Standard Deviation

4.11: SPSS in Focus: Range, Variance, and Standard Deviation

4: End-of-Chapter Problems (13)

4: Test Bank (29)

Chapter 5: Probability

5.1: Introduction to Probability

5.2: Calculating Probability

5.3: Probability and Relative Frequency

5.4: The Relationship Between Multiple Outcomes

5.5: Conditional Probabilities and Bayes’s Theorem

5.6: SPSS in Focus: Probability Tables

5.7: Probability Distributions

5.8: The Mean of a Probability Distribution and Expected Value

5.9: Research in Focus: When Are Risks Worth Taking?

5.10: The Variance and Standard Deviation of a Probability Distribution

5.11: Expected Value and the Binomial Distribution

5.12: A Final Thought on the Likelihood of Random Behavioral Outcomes

5: End-of-Chapter Problems (12)

5: Test Bank (30)

Chapter 6: Probability, Normal Distributions, and z Scores

6.1: The Normal Distribution in Behavioral Science

6.2: Characteristics of the Normal Distribution

6.3: Research in Focus: The Statistical Norm

6.4: The Standard Normal Distribution

6.5: The Unit Normal Table: A Brief Introduction

6.6: Locating Proportions

6.7: Locating Scores

6.8: SPSS in Focus: Converting Raw Scores to Standard z Scores

6.9: Going From Binomial to Normal

6.10: The Normal Approximation to the Binomial Distribution

6: End-of-Chapter Problems (12)

6: Test Bank (29)

Chapter 7: Probability and Sampling Distributions

7.1: Selecting Samples From Populations

7.2: Selecting a Sample: Who’s In and Who’s Out?

7.3: Sampling Distributions: The Mean

7.4: Sampling Distributions: The Variance

7.5: The Standard Error of the Mean

7.6: Factors That Decrease Standard Error

7.7: SPSS in Focus: Estimating the Standard Error of the Mean

7.8: APA in Focus: Reporting the Standard Error

7.9: Standard Normal Transformations With Sampling Distributions

7: End-of-Chapter Problems (11)

7: Test Bank (31)

Chapter 8: Hypothesis Testing: Significance, Effect Size, and Power

8.1: Inferential Statistics and Hypothesis Testing

8.2: Four Steps to Hypothesis Testing

8.3: Hypothesis Testing and Sampling Distributions

8.4: Making a Decision: Types of Error

8.5: Testing for Significance: Examples Using the z Test

8.6: Research in Focus: Directional Versus Nondirectional Tests

8.7: Measuring the Size of an Effect: Cohen’s d

8.8: Effect Size, Power, and Sample Size

8.9: Additional Factors That Increase Power

8.10: SPSS in Focus: A Preview for Chapters 9 to 18

8.11: APA in Focus: Reporting the Test Statistic and Effect Size

8: End-of-Chapter Problems (12)

8: Test Bank (33)

Chapter 9: Testing Means: One-Sample and Two-Independent-Sample t Tests

9.1: Going From z to t

9.2: The Degrees of Freedom

9.3: Reading the t Table

9.4: One-Sample t Test

9.5: Effect Size for the One-Sample t Test

9.6: SPSS in Focus: One-Sample t Test

9.7: Two-Independent-Sample t Test

9.8: Effect Size for the Two-Independent-Sample t Test

9.9: SPSS in Focus: Two-Independent-Sample t Test

9.10: APA in Focus: Reporting the t Statistic and Effect Size

9: End-of-Chapter Problems (13)

9: Test Bank (31)

Chapter 10: Testing Means: The Related-Samples t Test

10.1: Related and Independent Samples

10.2: Introduction to the Related-Samples t Test

10.3: The Related-Samples t Test: Repeated-Measures Design

10.4: SPSS in Focus: The Related-Samples t Test

10.5: The Related-Samples t Test: Matched-Pairs Design

10.6: Measuring Effect Size for the Related-Samples t Test

10.7: Advantages for Selecting Related Samples

10.8: APA in Focus: Reporting the t Statistic and Effect Size for Related Samples

10: End-of-Chapter Problems (14)

10: Test Bank (31)

Chapter 11: Estimation and Confidence Intervals

11.1: Point Estimation and Interval Estimation

11.2: The Process of Estimation

11.3: Estimation for the One-Sample z Test

11.4: Estimation for the One-Sample t Test

11.5: SPSS in Focus: Confidence Intervals for the One-Sample t Test

11.6: Estimation for the Two-Independent-Sample t Test

11.7: SPSS in Focus: Confidence Intervals for the Two-Independent-Sample t Test

11.8: Estimation for the Related-Samples t Test

11.9: SPSS in Focus: Confidence Intervals for the Related-Samples t Test

11.10: Characteristics of Estimation: Precisions and Certainty

11.11: APA in Focus: Reporting Confidence Intervals

11: End-of-Chapter Problems (13)

11: Test Bank (31)

Chapter 12: Analysis of Variance: One-Way Between-Subjects Design

12.1: Analyzing Variance for Two or More Groups

12.2: An Introduction to Analysis of Variance

12.3: Sources of Variation and the Test Statistic

12.4: Degrees of Freedom

12.5: The One-Way Between-Subjects ANOVA

12.6: What Is the Next Step?

12.7: Post Hoc Comparisons

12.8: SPSS in Focus: The One-Way Between-Subjects ANOVA

12.9: Measuring Effect Size

12.10: APA in Focus: Reporting the F Statistic, Significance, and Effect Size

12: End-of-Chapter Problems (13)

12: Test Bank (29)

Chapter 13: Analysis of Variance: One-Way Within-Subjects (Repeated-Measures) Design

13.1: Observing the Same Participants Across Groups

13.2: Sources of Variation and the Test Statistic

13.3: Degrees of Freedom

13.4: The One-Way Within-Subjects ANOVA

13.5: Post Hoc Comparisons: Bonferroni Procedure

13.6: SPSS in Focus: The One-Way Within-Subjects ANOVA

13.7: Measuring Effect Size

13.8: The Within-Subjects Design: Consistency and Power

13.9: APA in Focus: Reporting the F Statistic, Significance, and Effect Size

13: End-of-Chapter Problems (12)

13: Test Bank (31)

Chapter 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design

14.1: Observing Two Factors at the Same Time

14.2: New Terminology and Notation

14.3: Designs for the Two-Way ANOVA

14.4: Describing Variability: Main Effects and Interactions

14.5: The Two-Way Between-Subjects ANOVA

14.6: Analyzing Main Effects and Interactions

14.7: Measuring Effect Size

14.8: SPSS in Focus: The Two-Way Between-Subjects ANOVA

14.9: APA in Focus: Reporting Main Effects, Interactions, and Effect Size

14: End-of-Chapter Problems (15)

14: Test Bank (33)

Chapter 15: Correlation

15.1: The Structure of a Correlational Design

15.2: Describing a Correlation

15.3: Pearson Correlation Coefficient

15.4: SPSS in Focus: Pearson Correlation Coefficient

15.5: Assumptions of Tests for Linear Correlations

15.6: Limitations in Interpretation: Causality, Outliers, and Restrictions of Range

15.7: Alternative to Pearson r: Spearman Correlation Coefficient

15.8: SPSS in Focus: Spearman Correlation Coefficient

15.9: Alternative to Pearson r: Point-Biserial Correlation Coefficient

15.10: SPSS in Focus: Point-Biserial Correlation Coefficient

15.11: Alternative to Pearson r: Phi Correlation Coefficient

15.12: SPSS in Focus: Phi Correlation Coefficient

15.13: APA in Focus: Reporting Correlations

15: End-of-Chapter Problems (12)

15: Test Bank (28)

Chapter 16: Linear Regression and Multiple Regression

16.1: From Relationships to Predictions

16.2: Fundamentals of Linear Regression

16.3: What Makes the Regression Line the Best-Fitting Line?

16.4: The Slope and y-Intercept of a Straight Line

16.5: Using the Method of Least Squares to Find the Best Fit

16.6: Using Analysis of Regression to Determine Significance

16.7: SPSS in Focus: Analysis of Regression

16.8: Using the Standard Error of Estimate to Measure Accuracy

16.9: Introduction to Multiple Regression

16.10: Computing and Evaluating Significance for Multiple Regression

16.11: The ? Coefficient for Multiple Regression

16.12: Evaluating Significance for the Relative Contribution of Each Predictor Variable

16.13: SPSS in Focus: Multiple Regression Analysis

16.14: APA in Focus: Reporting Regression Analysis

16: End-of-Chapter Problems (11)

16: Test Bank (29)

Chapter 17: Nonparametric Tests: Chi-Square Tests

17.1: Tests for Nominal Data

17.2: The Chi-Square Goodness-of-Fit Test

17.3: SPSS in Focus: The Chi-Square Goodness-of-Fit Test

17.4: Interpreting the Chi-Square Goodness-of-Fit Test

17.5: Independent Observations and Expected Frequency Size

17.6: The Chi-Square Test for Independence

17.7: The Relationship Between Chi-Square and the Phi Coefficient

17.8: Measures of Effect Size

17.9: SPSS in Focus: The Chi-Square Test for Independence

17.10: APA in Focus: Reporting the Chi-Square Test

17: End-of-Chapter Problems (12)

17: Test Bank (30)

Chapter 18: Nonparametric Tests: Tests for Ordinal Data

18.1: Tests for Ordinal Data

18.2: The Sign Test

18.3: SPSS in Focus: The Related-Samples Sign Test

18.4: The Wilcoxon Signed-Ranks T Test

18.5: SPSS in Focus: The Wilcoxon Signed-Ranks T Test

18.6: The Mann-Whitney U Test

18.7: SPSS in Focus: The Mann-Whitney U Test

18.8: The Kruskal-Wallis H Test

18.9: SPSS in Focus: The Kruskal-Wallis H Test

18.10: The Friedman Test

18.11: SPSS in Focus: The Friedman Test

18.12: APA in Focus: Reporting Nonparametric Tests

18: End-of-Chapter Problems (12)

18: Test Bank (32)