## Description

**Test Bank For Essential Statistics for the Behavioral Sciences 2nd Edition By J. Privitera**

**Test Bank For Essential Statistics for the Behavioral Sciences 2nd Edition By Gregory J. Privitera, ISBN: 9781544324647, ISBN: 9781506386300, ISBN: 9781544337326, ISBN: 9781544337449**

**Essentials of Statistics for the Behavioral Sciences **is a concise version of *Statistics for the Behavioral Sciences* by award-winning teacher, author, and advisor Gregory J. Privitera. The **Second Edition** provides balanced coverage for today’s students, connecting the relevance of core concepts to daily life with new introductory vignettes for every chapter, while speaking to the reader as a researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills while working through carefully developed problems and exercises that include current research and seamless integration of IBM® SPSS® Statistics. Readers will welcome Privitera’s thoughtful instruction, conversational voice, and application of statistics to real-world problems.

**Table Of Content**

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

3.1 Introduction to Central Tendency

3.2 Measures of Central Tendency

3.3 Characteristics of the Mean

3.4 Choosing an Appropriate

3.5 Research in Focus: Describing Central Tendency

3.6 SPSS in Focus: Mean, Median, and Mode

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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 an Effect: Cohen’s d

7.8 Effect Size, Power, and Sample Size

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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 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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

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

Chapter Summary Organized by Learning Objective

Key Terms

End-of-Chapter Problems

A.1 Positive and Negative Numbers

A.2 Addition

A.3 Subtraction

A.4 Multiplication

A.5 Division

A.6 Fractions

A.7 Decimals and Percents

A.8 Exponents and Roots

A.9 Order of Computation

A.10 Equations: Solving for x

A.11 Summation Notation

Key Terms

Review Problems

Table C.1 The Unit Normal Table

Table C.2 Critical Values for the t Distribution

Table C.3 Critical Values for the F Distribution

Table C.4 The Studentized Range Statistic (q)

Table C.5 Critical Values for the Pearson Correlation

Table C.6 Critical Values for the Spearman Correlation

Table C.7 Critical Values for Chi-Square (c2)