In this Section:
    I) Brief Table of Contents
    II) Detailed Table of Contents
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I) Brief Table of Contents
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Chapter 1. Introduction
Chapter 2. Frequency Distributions and Graphs
Chapter 3. Measures of Central Tendency and Variability
Chapter 4. Normal Distributions
Chapter 5. Testing Hypotheses
Chapter 6. Sampling Distributions
Chapter 7. t Tests and Analysis of Variance        Â
Chapter 8. The Chi-Square Test of Association between Variables      Â
Chapter 9. Correlation
Chapter 10. Regression     Â
Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice
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II) Detailed Table of Contents
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Chapter 1. Introduction
Useful Terms You Will Need to Know
Measurement iSSUES
Additional Measurement Classifications     Â
Research Hypotheses
Classification of Variables and Their Relationship
Categories of Statistical Analyses  Â
Statistics and data collection
Research designs and statistics
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Chapter 2. Frequency Distributions and Graphs
Frequency Distributions     Â
Grouped Frequency Distributions   Â
Using Frequency Distributions to Analyze Data    Â
Misrepresentation of Data  Â
Graphs        Â
A Caution: Computer-generated graphs   Â
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Chapter 3. Measures of Central Tendency and Variability
Measures of Central Tendency
Measures of Variability      Â
Other Uses for Central Tendency and Variability  Â
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Chapter 4. Normal Distributions
Skewness    Â
Kurtosis       Â
The Normal Curve
The Standard Normal Distribution
Converting Raw Scores to z Scores and Percentiles
Deriving raw Scores From Percentiles
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Chapter 5. Testing Hypotheses
Alternative Explanations for Relationships Within Samples
Probability and Inference
Refuting Sampling Error
Statistical Significance
Testing the Null Hypothesis
Errors in Drawing Conclusions About Relationships
Statistically Significant Relationships and Meaningful Findings
The Hypothesis Testing process
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Chapter 6. Sampling Distributions
Sample Size and Sampling Error
What are Sampling Distribution?
Rejection Regions and hypothesis testing
Estimating Parameters
Selecting Statistical Tests   Â
Deciding Which Test to use Â
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Chapter 7. t Tests and Analysis of Variance    Â
The use of t Tests   Â
The One-sample t Test      Â
The Dependent t Test        Â
The Independent tTest       Â
Misuse of t tests
Simple Analysis of Variance (Simple Anova)Â Â Â Â Â Â Â Â
Multivariate Analysis of Variance   Â
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Chapter 8.  The Chi-Square Test of Association between Variables          Â
When Chi-Square is Appropriate
Cross-Tabulation Tables     Â
Using Chi-Square
When Chi-square is not appropriate
Using chi-square in social work practice
Cross-Tabulation With Three or More Variables
Special Applications of The Chi-Square Formula   Â
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Chapter 9. Correlation
Uses of Correlation Â
Scattergrams
Nonperfect Correlations
Interpreting Linear Correlations     Â
Using Correlation for inference
Pearson’S r  Â
Nonparametric Alternatives to Pearson’S r
Correlation With Three or More Variables Â
Other Multivariate analyses That use Correlation Â
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Chapter 10. Regression   Â
Prediction and Evidence-Based Practice    Â
Prediction and Statistical Analysis  Â
What is Simple Linear Regression? Â
Computation of the Regression Equation  Â
More About the Regression Line    Â
Interpreting Results Â
Using regression in social work practice
When is regression analysis appropriate
Regression With Three or More Variables Â
Other Types of Regression Analyses        Â
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Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice
Meta-analyses
Program evaluations
Single-System designs       Â
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