Test Bank for Essential Statistics for the Behavioral Sciences
2nd by Privitera
Full download link at: https://testbankbell.com/product/test-bank-for-essentialstatistics-for-the-behavioral-sciences-2nd-by-privitera/
Description:
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.
About the Author
Gregory J. Priviterais a professor of psychology at St. Bonaventure University where he is a recipient of its highest teaching honor, The Award for Professional Excellence in Teaching, and its highest honor for scholarship, The Award for Professional Excellence in Research and Publication. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo and continued with his postdoctoral research at Arizona State University. He is a national award-winning author and research scholar. His textbooks span across diverse topics in psychology and the behavioral sciences, including two introductory psychology texts (one upcoming), four statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and well-being. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health and well-being. He research has earned recognition by the American Psychological Association, and in media and press to
include Oprah’s Magazine, Time Magazine, and the Wall Street Journal. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, is an identical twin, and is married with three children: a daughter, Grace Ann, and two sons, Aiden Andrew and Luca James.
• ISBN-10 : 150638630X
• ISBN-13 : 978-1506386300
Table contents:
PART I: INTRODUCTION AND DESCRIPTIVE STATISTICS
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
Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
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 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
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
PART II: PROBABILITY AND THE FOUNDATIONS OF INFERENTIAL STATISTICS
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
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 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
PART III: MAKING INFERENCES ABOUT ONE OR TWO MEANS
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
Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
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 TwoIndependent-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-ofChapter Problems
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
PART IV: MAKING INFERENCES ABOUT THE VARIABILITY OF TWO OR MORE MEANS
Chapter 11: One-Way Analysis of Variance: Between- Subjects and WithinSubjects (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 BetweenSubjects 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
Chapter 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design
12.1 Introduction to Factorial Designs 12.2 Structure and Notation for the TwoWay 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
PART V: MAKING INFERENCES ABOUT PATTERNS, PREDICTION, AND NONPARAMETRIC TESTS
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
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 Chapter Summary Organized by Learning Objective Key Terms End-of-Chapter Problems
Afterword: A Final Thought on the Role of Statistics in Research Methods
Appendix A: Basic Math Review and Summation Notation 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
Appendix B. SPSS General Instructions Guide
Appendix C. Statistical Tables 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)Appendix D: Solutions for EvenNumbered Problems
Glossary References
Index
