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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.
  
• Other Contributors/Collections:Wallnau, Larry B.
  
• Published/Created:Belmont, CA : Wadsworth Cengage Learning, ©2014.
  

• Holdings

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  • Location:KOERNER LIBRARY stacks (Floor 1)Where is this?
    
  • Call Number: HA29 .G726 2014
    
  • Number of Items:1
    
  • Status:c.1 Lost - 02-04-2021
    

   
• Library of Congress Subjects:Social sciences--Statistical methods.
  
• Medical Subjects: Social Sciences--statistics & numerical data.
  
• Edition:8th ed.
  
• Description:xvi, 631 p. : ill. (some col.) ; 26 cm
  
• 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.
  
• Notes:Includes bibliographical references (pages 619-623) and index.
  
• ISBN:9781133956570
  1133956572
  
• 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.