Statistics for the Behavioral Sciences Gravetter 9th Edition Test Bank

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Product details:

• ISBN-10 ‏ : ‎ 1111830991
• ISBN-13 ‏ : ‎ 978-1111830991
• Author: Frederick J Gravetter; Larry B. Wallnau

The best-selling introduction to statistics for students in the behavioral and social sciences, this text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition is to not only teach the methods of statistics, but also to convey the basic principles of objectivity and logic that are essential for science and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems.

Table of contents:

• Chapter 1. Introduction to Statistics
• 1.1. Statistics, Science, and Observations
• 1.2. Populations and Samples
• 1.3. The Scientific Method and the Design of Research Studies
• 1.4. Scales of Measurement
• 1.5. Discrete and Continuous Variables
• 1.6. Statistical Notation
• Summary
• Focus on Problem Solving
• Problems
• Chapter 2. Frequency Distributions
• 2.1. Introduction
• 2.2. Frequency Distribution Tables
• 2.3. Frequency Distribution Graphs
• 2.4. The Shape of a Frequency Distribution
• Summary
• Focus on Problem Solving
• Problems
• Chapter 3. Central Tendency
• 3.1. Introduction
• 3.2. The Mean
• 3.3. The Median
• 3.4. The Mode
• 3.5. Selecting a Measure of Central Tendency
• In the Literature: Reporting Measures of Central Tendency
• 3.6. Central Tendency and the Shape of the Distribution
• Summary
• Focus on Problem Solving
• Problems
• Chapter 4. Variability
• 4.1. Introduction
• 4.2. The Range
• 4.3. The Interquartile Range and Semi-interquartile Range
• 4.4. Standard Deviation and Variance for a Population
• 4.5. Standard Deviation and Variance for Samples
• 4.6. More about Variance and Standard Deviation
• In the Literature: Reporting the Standard Deviation
• Summary
• Focus on Problem Solving
• Problems
• Chapter 5. z-Scores: Location of Scores and Standardized Distributions
• 5.1. Overview
• 5.2. Introduction to z-Scores
• 5.3. z-Scores and Location in a Distribution
• 5.4. Using z-Scores to Standardize a Distribution
• 5.5. Other Standardized Distributions Based on z-Scores
• Summary
• Focus on Problem Solving
• Problems
• Chapter 6. Probability
• 6.1. Introduction to Probability
• 6.2. Probability and the Normal Distribution
• Summary
• Focus on Problem Solving
• Problems
• Chapter 7. Probability and Samples: The Distribution of Sample Means
• 7.1. Samples and Sampling Error
• 7.2. The Distribution of Sample Means
• 7.3. Probability and the Distribution of Sample Means
• 7.4. More about Standard Error
• In the Literature: Reporting Standard Error
• Summary
• Focus on Problem Solving
• Problems
• Chapter 8. Introduction to Hypothesis Testing
• 8.1. The Logic of Hypothesis Testing
• 8.2. Uncertainty and Errors in Hypothesis Testing
• 8.3. An Example of a Hypothesis Test
• In the Literature: Reporting the Results of the Statistical Test
• 8.4. Directional (One-Tailed) Hypothesis Tests
• 8.5. The General Elements of Hypothesis Testing: A Review
• Summary
• Focus on Problem Solving
• Problems
• Chapter 9. Introduction to the t Statistic
• 9.1. Overview
• 9.2. Hypothesis Tests with the t Statistic
• In the Literature: Reporting the Results of a t Test
• Summary
• Focus on Problem Solving
• Problems
• Chapter 10. The t Test for Two Independent Samples
• 10.1. Overview
• 10.2. The t Statistic for an Independent-Measures Research Design
• 10.3. Hypothesis Tests with the Independent-Measures t Statistic
• In the Literature: Reporting the Results of an Independent-Measures t Test
• 10.4. Assumptions Underlying the Independent-Measures t Formula
• Summary
• Focus on Problem Solving
• Problems
• Chapter 11. The t Test for Two Related Samples
• 11.1. Overview
• 11.2. The t Statistic for Related Samples
• 11.3. Hypothesis Tests for the Repeated-Measures Design
• In the Literature: Reporting the Results of a Repeated-Measures t Test
• 11.4. Uses and Assumptions for Related-Samples t Tests
• Summary
• Focus on Problem Solving
• Problems
• Chapter 12. Estimation
• 12.1. An Overview of Estimation
• 12.2. Estimation with the t Statistic
• 12.3. A Final Look at Estimation
• Summary
• Focus on Problem Solving
• Problems
• Chapter 13. Introduction to Analysis of Variance
• 13.1. Introduction
• 13.2. The Logic of Analysis of Variance
• 13.3. ANOVA Notation and Formulas
• 13.4. The Distribution of F-Ratios
• 13.5. Examples of Hypothesis Testing with ANOVA
• In the Literature: Reporting the Results of Analysis of Variance
• 13.6. Post Hoc Tests
• Summary
• Focus on Problem Solving
• Problems
• Chapter 14. More Advanced Analysis of Variance: Repeated-Measures and Two-Factor Designs
• 14.1. Overview
• 14.2. Repeated-Measures Analysis of Variance (ANOVA)
• In the Literature: Reporting the Results of a Repeated-Measure ANOVA
• 14.3. Two-Factor Analysis of Variance (Independent Measures)
• In the Literature: Reporting the Results of a Two-Factor ANOVA
• Summary
• Focus on Problem Solving
• Problems
• Chapter 15. Correlation and Regression
• 15.1. Introduction
• 15.2. The Pearson Correlation
• 15.3. Using and Interpreting the Pearson Correlation
• 15.4. Hypothesis Tests with the Pearson Correlation
• In the Literature: Reporting Correlations
• 15.5. The Spearman Correlation
• 15.6. Introduction to Regression
• Summary
• Focus on Problem Solving
• Problems
• Chapter 16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence
• 16.1. Parametric and Nonparametric Statistical Tests
• 16.2. The Chi-Square Test for Goodness of Fit
• In the Literature: Reporting the Results for Chi-Square
• 16.3. The Chi-Square Test for Independence
• 16.4. Assumptions and Restrictions for Chi-Square Tests
• Summary
• Focus on Problem Solving
• Problems
• Appendix A. Basic Mathematics Review
• Appendix B. Statistical Tables
• Appendix C. Solutions for Odd-Numbered Problems in the Text
• Statistics Organizer
• References
• Index

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