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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)
