Preface

Chapter 1: Introduction
Levels of Data
Association
Reliability and Validity
Reporting Results
Critical Review Checklist
Hypothesis Testing Basics
The Normal Distribution
Steps to Hypothesis Testing

Chapter 2: Nominal/Ordinal Data
Ratios, Rates, and Proportions
Bivariate Descriptive Statistics
Interval Estimation for Proportions (Margin of Error)
Using One Margin of Error for Multiple Comparisons
Interval Estimation for the Difference Between Two Proportions
Comparing a Population Proportion to a Sample Proportion (Z-test)
Comparing Proportions From Two Independent Samples
Chi-Square Goodness-of-Fit Test
Chi-Square Test of Independence
Standardized Residuals
Coefficients for Measuring Association
Summary Table Example
Controlling for Third Variable

Chapter 3: Interval/Ratio Data
Measures of Central Tendency and Variation
Standardized Z-Scores
Transformed Z-Scores
Interval Estimation For Means (Margin of Error)
Comparing a Population Mean to a Sample Mean (T-test)
Comparing Two Independent Sample Means (T-test)
Computing F-ratio
One-Way Analysis of Variance (ANOVA)
Pearson's Product Moment Correlation Coefficient
Spearman Rho Coefficient
Simple Linear Regression
Power of Linear Model

Chapter 4: Multivariate Models
Multiple Regression
Slope Confidence Interval and Significance
Predicted Y
Standardized Partial Slope
Multiple Regression Assumptions
Logistic Multiple Regression

Tables
Z Distribution Critical Values
T Distribution Critical Values (2-Tailed)
Chi-square Distribution Critical Values
F Distribution Critical Values Web www.acastat.com