# Essential Statistics for the Behavioral Sciences 1st edition

Gregory J. Privitera
Publisher: SAGE Publications

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• 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 (28)

• 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: Graphing Distributions: Continuous Data
• 2.9: Graphing Distributions: Discrete and Categorical Data
• 2.10: Research in Focus: Frequencies and Percents
• 2.11: SPSS in Focus: Histograms, Bar Charts, and Pie Charts
• 2: End-of-Chapter Problems (9)
• 2: Test Bank (27)

• 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 (10)
• 3: Test Bank (28)

• Chapter 4: Summarizing Data: Variability
• 4.1: Measuring Variability
• 4.2: The Range and Interquartile Range
• 4.3: Research in Focus: Reporting the Range
• 4.4: The Variance
• 4.5: Explaining Variance for Populations and Samples
• 4.6: The Computational Formula for Variance
• 4.7: The Standard Deviation
• 4.8: What Does the Standard Deviation Tell Us?
• 4.9: Characteristics of the Standard Deviation
• 4.10: SPSS in Focus: Range, Variance, and Standard Deviation
• 4: End-of-Chapter Problems (11)
• 4: Test Bank (27)

• Chapter 5: Probability, Normal Distributions, and z Scores
• 5.1: Introduction to Probability
• 5.2: Calculating Probability
• 5.3: Probability and the Normal Distribution
• 5.4: Characteristics of the Normal Distribution
• 5.5: Research in Focus: The Statistical Norm
• 5.6: The Standard Normal Distribution and z Scores
• 5.7: A Brief Introduction to the Unit Normal Table
• 5.8: Locating Proportions
• 5.9: Locating Scores
• 5.10: SPSS in Focus: Converting Raw Scores to Standard z Scores
• 5: End-of-Chapter Problems (21)
• 5: Test Bank (30)

• Chapter 6: Characteristics of the Sample Mean
• 6.1: Selecting Samples From Populations
• 6.2: Selecting a Sample: Who's In and Who's Out?
• 6.3: Sampling Distributions: The Mean
• 6.4: The Standard Error of the Mean
• 6.5: Factors That Decrease Standard Error
• 6.6: SPSS in Focus: Estimating the Standard Error of the Mean
• 6.7: APA in Focus: Reporting the Standard Error
• 6.8: Standard Normal Transformations With Sampling Distributions
• 6: End-of-Chapter Problems (8)
• 6: Test Bank (28)

• Chapter 7: Hypothesis Testing: Significance, Effect Size, and Power
• 7.1: Inferential Statistics and Hypothesis Testing
• 7.2; Four Steps to Hypothesis Testing
• 7.3: Hypothesis Testing and Sampling Distributions
• 7.4: Making a Decision: Types of Error
• 7.5: Testing for Significance: Examples Using the z Test
• 7.6: Research in Focus: Directional Versus Nondirectional Tests
• 7.7: Measuring the Size of and Effect: Cohen's d
• 7.8: Effect, Size, Power, and Sample Space
• 7.9: Additional Factors That Increase Power
• 7.10: SPSS in Focus: A Preview for Chapters 8 to 14
• 7.11: APA in Focus: Reporting the Test Statistic and Effect Size
• 7: End-of-Chapter Problems (7)
• 7: Test Bank (28)

• Chapter 8: Testing Means: One-Sample t Test With Confidence Intervals
• 8.1: Going From z to t
• 8.2: The Degrees of Freedom
• 8.3: Reading the t Table
• 8.4: Computing the One-Sample t Test
• 8.5: Effect Size for the One-Sample t Test
• 8.6: Confidence Intervals for the One-Sample t Test
• 8.7: Inferring Significance and Effect Size From a Confidence Interval
• 8.8: SPSS in Focus: One-Sample t Test and Confidence Intervals
• 8.9: APA in Focus: Reporting the t Statistic and Confidence Intervals
• 8: End-of-Chapter Problems (11)
• 8: Test Bank (28)

• Chapter 9: Testing Means: Two-Independent-Sample t Test With Confidence Intervals
• 9.1: Introduction to the Between-Subjects Design
• 9.2: Selecting Samples for Comparing Two Groups
• 9.3: Variability and Comparing Differences Between Two Groups
• 9.4: Computing the Two-Independent-Sample t Test
• 9.5: Effect Size for the Two-Independent-Sample t Test
• 9.6: Confidence Intervals for the Two-Independent-Sample t Test
• 9.7: Inferring Significance and Effect Size From a Confidence Interval
• 9.8: SPSS in Focus: Two-Independent-Sample t Test and Confidence Intervals
• 9.9: APA in Focus: Reporting the t Statistic and Confidence Intervals
• 9: End-of-Chapter Problems (6)
• 9: Test Bank (12)

• Chapter 10: Testing Means: Related-Samples t Test With Confidence Intervals
• 10.1: Related Samples Designs
• 10.2: Introduction to the Related-Samples t Test
• 10.3: Computing the Related-Samples t Test
• 10.4: Measuring Effect Size for the Related-Samples t Test
• 10.5: Confidence Intervals for the Related-Samples t Test
• 10.6: Inferring Significance and Effect Size From a Confidence Interval
• 10.7: SPSS in Focus: Related-Samples t Test and Confidence Intervals
• 10.8: APA in Focus: Reporting the t Statistic and Confidence Intervals
• 10: End-of-Chapter Problems (11)
• 10: Test Bank (31)

• Chapter 11: One-Way Analysis of Variance: Between-Subjects and Within-Subjects (Repeated-Measures) Designs
• 11.1: An Introduction to Analysis of Variance
• 11.2: The Between-Subjects Design for Analysis of Variance
• 11.3: Computing the One-Way Between-Subjects ANOVA
• 11.4: Post Hoc Tests: An Example Using Tukey's HSD
• 11.5: SPSS in Focus: The One-Way Between-Subjects ANOVA
• 11.6: The Within-Subjects Design for Analysis of Variance
• 11.7: Computing the One-Way Within-Subjects ANOVA
• 11.8: Post Hoc Tests for the Within-Subjects Design
• 11.9: SPSS in Focus: The One-Way Within-Subjects ANOVA
• 11.10: A Comparison of Within-Subjects and Between-Subjects Designs for ANOVA: Implications for Power
• 11.11: APA in Focus: Reporting the Results of the One-Way ANOVAs
• 11: End-of-Chapter Problems (21)
• 11: Test Bank (49)

• Chapter 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design
• 12.1: Introduction to Factorial Designs
• 12.2: Structure and Notation for the Two-Way ANOVA
• 12.3: Describing Variability: Main Effects and Interactions
• 12.4: Computing the Two-Way Between-Subjects ANOVA
• 12.5: Analyzing Main Effects and Interactions
• 12.6: Measuring the Effect Size for Main Effects and the Interaction
• 12.7: SPSS in Focus: The Two-Way Between-Subjects ANOVA
• 12.8: APA in Focus: Reporting the Results of the Two-Way ANOVAs
• 12: End-of-Chapter Problems (10)
• 12: Test Bank (28)

• Chapter 13: Correlation and Linear Regression
• 13.1: The Structure of Data Used for Identifying Patterns and Making Predictions
• 13.2: Fundamentals of the Correlation
• 13.3: The Pearson Correlation Coefficient
• 13.4: SPSS in Focus: Pearson Correlation Coefficient
• 13.5: Assumptions and Limitations for Linear Correlations
• 13.6: Alternatives to Pearson: Spearman, Point-Biserial, and Phi
• 13.7: SPSS in Focus: Computing the Alternatives to Pearson
• 13.8: Fundamentals of Linear Regression
• 13.9: Using the Method of Least Squares to Find the Regression Line
• 13.10: Using Analysis of Regression to Determine Significance
• 13.11: SPSS in Focus: Analysis of Regression
• 13.12: A Look Ahead to Multiple Regression
• 13.13: APA in Focus: Reporting Correlations and Linear Regression
• 13: End-of-Chapter Problems (21)
• 13: Test Bank (43)

• Chapter 14: Chi-Square Tests: Goodness-of-Fit and the Test for Independence
• 14.1: Distinguishing Parametric and Nonparametric Tests
• 14.2: The Chi-Square Goodness-of-Fit Test
• 14.3: SPSS in Focus: The Chi-Square Goodness-of-Fit Test
• 14.4: Interpreting the Chi-Square Goodness-of-Fit Test
• 14.5: The Chi-Square Test for Independence
• 14.6: Measures of Effect Size for the Chi-Square Test for Independence
• 14.7: SPSS in Focus: The Chi-Square Test for Independence
• 14.8: APA in Focus: Reporting the Chi-Square Tests
• 14: End-of-Chapter Problems (10)
• 14: Test Bank (28)

Essential Statistics for the Behavioral Sciences 1st edition, by Gregory Privitera, offers a brief and engaging introduction to the field with practical examples, clear instruction, and application of statistics to current, real-life research problems. The WebAssign component for this text engages students with immediate feedback, an interactive eBook, and a question bank of multiple choice and true/false exercises.

## Features

• Every WebAssign question links to applicable chapters in a fully integrated and interactive FlexPaper eBook.
• All questions contain appropriate hints and feedback to guide the student's next steps.
• An additional test bank of multiple choice and true/false questions is available for extra practice and enriching assignment.

## Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

##### Question Group Key
XP - Extra Problem

##### Question Availability Color Key
BLACK questions are available now
GRAY questions are under development

Group Quantity Questions
Chapter 1: Introduction to Statistics
1.E 7 005 009 011 019 021 025 031
1.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055
Chapter 2: Summarizing Data: Frequency Distributions in Tables and Graphs
2.E 9 005 011 015 019 023 025 031 033 501.XP
2.TB 27 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 047 049 051 053 055
Chapter 3: Summarizing Data: Central Tendency
3.E 10 001 007 009 011 013 015 019 021 027 501.XP
3.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055
Chapter 4: Summarizing Data: Variability
4.E 11 007 009 011 015 019 021 025 027 032 501.XP 502.XP
4.TB 27 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 055
Chapter 5: Probability, Normal Distributions, and z Scores
5.E 21 011 013 015 017 019 021 023 025 028 030 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
5.TB 30 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 052 056 058 060
Chapter 6: Characteristics of the Sample Mean
6.E 8 011 013 015 017 019 023 025 501.XP
6.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055
Chapter 7: Hypothesis Testing: Significance, Effect Size, and Power
7.E 7 009 011 015 019 021 023 025
7.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055
Chapter 8: Testing Means: One-Sample t Test With Confidence Intervals
8.E 11 003 016 018 020 021 032 501.XP 502.XP 503.XP 504.XP 505.XP
8.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 032 034 036 039 041 044 046 048 050 064 066 068
Chapter 9: Testing Means: Two-Independent-Sample t Test With Confidence Intervals
9.E 6 009 011 013 016 021 025
9.TB 12 015 017 019 021 023 025 027 029 032 034 036 059
Chapter 10: Testing Means: Related-Samples t Test With Confidence Intervals
10.E 11 003 009 013 015 017 019 021 023 025 027 031
10.TB 31 001 003 005 007 009 011 013 020 022 024 026 028 030 032 034 036 038 040 042 044 046 048 049 050 051 052 054 056 058 060 083
Chapter 11: One-Way Analysis of Variance: Between-Subjects and Within-Subjects (Repeated-Measures) Designs
11.E 21 003 013 014 015 020 022 025 031 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP
11.TB 49 001 003 004 005 006 008 010 013 016 019 021 023 025 027 028 030 032 034 036 037 039 041 045 047 049 051 053 054 057 059 061 063 065 066 068 070 072 074 076 079 081 083 084 087 088 090 092 094 101
Chapter 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design
12.E 10 005 013 015 017 019 021 023 025 031 501.XP
12.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055
Chapter 13: Correlation and Linear Regression
13.E 21 003 011 013 017 019 022 023 026 027 029 031 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
13.TB 43 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055 057 059 061 063 065 067 069 071 073 077 079 081 102 104 106
Chapter 14: Chi-Square Tests: Goodness-of-Fit and the Test for Independence
14.E 10 005 007 013 015 017 019 021 023 025 031
14.TB 28 001 003 005 007 009 011 013 015 017 019 021 023 025 027 029 031 033 035 037 039 041 043 045 047 049 051 053 055
Total 578