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Essentials of statistics for the behavioral sciences / Frederick J. Gravetter, Larry B. Wallnau.
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Title:Essentials of statistics for the behavioral sciences / Frederick J. Gravetter, Larry B. Wallnau.
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Author/Creator:Gravetter, Frederick J.
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Other Contributors/Collections:Wallnau, Larry B.
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Published/Created:Belmont, CA : Wadsworth Cengage Learning, ©2014.
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Holdings
Holdings Record Display
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Location:KOERNER LIBRARY stacks (Floor 1)Where is this?
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Call Number: HA29 .G726 2014
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Number of Items:1
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Status:c.1 Lost - 02-04-2021
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Location:KOERNER LIBRARY stacks (Floor 1)Where is this?
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Library of Congress Subjects:Social sciences--Statistical methods.
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Medical Subjects: Social Sciences--statistics & numerical data.
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Edition:8th ed.
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Description:xvi, 631 p. : ill. (some col.) ; 26 cm
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Summary:"A proven bestseller, Essentials of Statistics for the Behavioral Sciences, 8th, international edition gives you straightforward instruction, unrivaled accuracy, built-in learning aids, and plenty of real-world examples to help you understand statistical concepts. The authors take time to fully explain statistical procedures so that you can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. They also take care to show you how having an understanding of statistical procedures will help you comprehend published findings-ultimately leading you to become a savvy consumer of information"--Provided by publisher.
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Notes:Includes bibliographical references (pages 619-623) and index.
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ISBN:9781133956570
1133956572
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Contents:Machine generated contents note: pt. I Introduction and Descriptive Statistics
ch. 1 Introduction to Statistics
1.1. Statistics, Science, and Observations
1.2. Populations and Samples
1.3. Data Structures, Research Methods, and Statistics
1.4. Variables and Measurement
1.5. Statistical Notation
Summary
Focus on Problem Solving
Demonstration 1.1
Problems
ch. 2 Frequency Distributions
2.1. Introduction to Frequency Distributions
2.2. Frequency Distribution Tables
2.3. Frequency Distribution Graphs
2.4. Shape of a Frequency Distribution
Summary
Focus on Problem Solving
Demonstration 2.1
Problems
ch. 3 Measures of Central Tendency
3.1. Defining Central Tendency
3.2. Mean
3.3. Median
3.4. Mode
3.5. Selecting a Measure of Central Tendency
3.6. Central Tendency and the Shape of the Distribution
Summary
Focus on Problem Solving
Demonstration 3.1
Problems
ch. 4 Measures of Variability
4.1. Defining Variability
4.2. Range
4.3. Standard Deviation and Variance for a Population
4.4. Standard Deviation and Variance for a Sample
4.5. More About Variance and Standard Deviation
Summary
Focus on Problem Solving
Demonstration 4.1
Problems
pt. I Review
Review Exercises
pt. II Foundations of Inferential Statistics
ch. 5 z-Scores: Location of Scores and Standardized Distributions
5.1. Introduction to z-Scores
5.2. z-Scores and Location in a Distribution
5.3. Using z-Scores to Standardize a Distribution
5.4. Other Standardized Distributions Based on z-Scores
5.5. Computing z-Scores for a Sample
5.6. Looking Ahead to Inferential Statistics
Summary
Focus on Problem Solving
Demonstration 5.1
Demonstration 5.2
Problems
ch. 6 Probability
6.1. Introduction to Probability
6.2. Probability and the Normal Distribution
6.3. Probabilities and Proportions for Scores from a Normal Distribution
6.4. Looking Ahead to Inferential Statistics
Summary
Focus on Problem Solving
Demonstration 6.1
Problems
ch. 7 Probability and Samples: The Distribution of Sample Means
7.1. Samples and Populations
7.2. Distribution of Sample Means
7.3. Probability and the Distribution of Sample Means
7.4. More About Standard Error
7.5. Looking Ahead to Inferential Statistics
Summary
Focus on Problem Solving
Demonstration 7.1
Problems
ch. 8 Introduction to Hypothesis Testing
8.1. Logic of Hypothesis Testing
8.2. Uncertainty and Errors in Hypothesis Testing
8.3. More About Hypothesis Tests
8.4. Directional (One-Tailed) Hypothesis Tests
8.5. Concerns About Hypothesis Testing: Measuring Effect Size
8.6. Statistical Power
Summary
Focus on Problem Solving
Demonstration 8.1
Demonstration 8.2
Problems
pt. II Review
Review Exercises
pt. III Using t Statistics for Interfernces About Population Means and Mean Differences
ch. 9 Introduction to the t Statistic
9.1. t Statistic: An Alternative to z
9.2. Hypothesis Tests with the t Statistic
9.3. Measuring Effect Size for the t Statistic
9.4. Directional Hypotheses and One-Tailed Tests
Summary
Focus on Problem Solving
Demonstration 9.1
Demonstration 9.2
Problems
ch. 10 t Test for Two Independent Samples
10.1. Introduction to the Independent-Measures Design
10.2. t Statistic for an Independent-Measures Research Design
10.3. Hypothesis Tests and Effect Size with the Independent-Measures t Statistic
10.4. Assumptions Underlying the Independent-Measures t Formula
Summary
Focus on Problem Solving
Demonstration 10.1
Demonstration 10.2
Problems
ch. 11 t Test for Two Related Samples
11.1. Introduction to Repeated-Measures Designs
11.2. t Statistic for a Repeated-Measures Research Design
11.3. Hypothesis Tests and Effect Size for the Repeated-Measures Design
11.4. Uses and Assumptions for Repeated-Measures t Tests
Summary
Focus on Problem Solving
Demonstration 11.1
Demonstration 11.2
Problems
pt. III Review
Review Exercises
pt. IV Analysis of Variance: Tests for Differences Among Two or More Population Means
ch. 12 Introduction to Analysis of Variance
12.1. Introduction
12.2. Logic of ANOVA
12.3. ANOVA Notation and Formulas
12.4. Distribution of F-Ratios
12.5. Examples of Hypothesis Testing and Effect Size with ANOVA
12.6. Post Hoc Tests
12.7. Relationships Between ANOVA and t Tests
Summary
Focus on Problem Solving
Demonstration 12.1
Demonstration 12.2
Problems
ch. 13 Repeated-Measures and Two-Factor Analysis of Variance
13.1. Overview
13.2. Repeated-Measures ANOVA
13.3. Two-Factor ANOVA (Independent Measures)
Summary
Focus on Problem Solving
Demonstration 13.1
Demonstration 13.2
Problems
pt. IV Review
Review Exercises
pt. V Correlations and Nonparametric Tests
ch. 14 Correlation
14.1. Introduction
14.2. Pearson Correlation
14.3. Using and Interpreting the Pearson Correlation
14.4. Hypothesis Tests with the Pearson Correlation
14.5. Alternatives to the Pearson Correlation
14.6. Introduction to Linear Equations and Regression
Summary
Focus on Problem Solving
Demonstration 14.1
Problems
ch. 15 Chi-Square Statistic: Tests for Goodness of Fit and Independence
15.1. Parametric and Nonparametric Statistical Tests
15.2. Chi-Square Test for Goodness of Fit
15.3. Chi-Square Test for Independence
15.4. Measuring Effect Size for the Chi-Square Test for Independence
15.5. Assumptions and Restrictions for Chi-Square Tests
Summary
Focus on Problem Solving
Demonstration 15.1
Demonstration 15.2
Problems
pt. V Review
Review Exercises.