Full Table of Contents Chapter Titles
Title Page
Instructions

List of Simulations and Demonstrations
  1. Introduction
    1. What are Statistics?
    2. Importance of Statistics
    3. Descriptive Statistics
    4. Inferential Statistics
    5. Sampling Demonstration
    6. Variables
    7. Percentiles
    8. Measurement
      1. Levels of Measurement
      2. Measurement Demonstration
      3. Basics of Data Collection
    9. Distributions
    10. Summation Notation
    11. Linear Transformations
    12. Exercises
    13. PDF Files (in .zip archive)

  2. Graphing Distributions
    1. Introduction
    2. Qualitative Variables
    3. Quantitative Variables
      1. Stem and Leaf Displays
      2. Histograms
      3. Frequency Polygons
      4. Box Plots
      5. Box Plot Demonstration
      6. Bar Charts
      7. Line Graphs
    4. Exercises
    5. PDF Files (in .zip archive)

  3. Summarizing Distributions
    1. Central Tendency
      1. What is Central Tendency
      2. Measures of Central Tendency
      3. Balance Scale Simulation
      4. Absolute Difference Simulation
      5. Squared Differences Simulation
      6. Median and Mean
      7. Mean and Median Simulation
      8. Additional Measures
      9. Comparing measures
    2. Variability
      1. Measures of Variability
      2. Variability Demo
      3. Estimating Variance Simulation
    3. Shape
    4. Comparing Distributions Demo
    5. Effects of Transformations
    6. Variance Sum Law I
    7. Exercises
    8. PDF Files (in .zip archive)

  4. Describing Bivariate Data
    1. Introduction to Bivariate Data
    2. Values of the Pearson Correlation
    3. Guessing Correlations Simulation
    4. Properties of Pearson's r
    5. Computing Pearson's r
    6. Restriction of Range Demo
    7. Variance Sum Law II
    8. Exercises
    9. PDF Files (in .zip archive)

  5. Probability
    1. Introduction
    2. Basic Concepts
    3. Conditional Probability Demo
    4. Gamblers Fallacy Simulation
    5. Birthday Demonstration
    6. Binomial Distribution
    7. Binomial Demonstration
    8. Base Rates
    9. Bayes' Theorem Demonstration
    10. Monty Hall Problem Demonstration
    11. Exercises
    12. PDF Files (in .zip archive)

  6. Normal Distributions
    1. Introduction
    2. History
    3. Areas of Normal Distributions
    4. Varieties of Normal Distribution Demo
    5. Standard Normal
    6. Normal Approximation to the Binomial
    7. Normal Approximation Demo
    8. Exercises
    9. PDF Files (in .zip archive)

  7. Sampling Distributions
    1. Introduction
    2. Basic Demo
    3. Sample Size Demo
    4. Central Limit Theorem Demo
    5. Sampling Distribution of the Mean
    6. Sampling Distribution of Difference Between Means
    7. Sampling Distribution of Pearson's r
    8. Sampling Distribution of a Proportion
    9. Exercises
    10. PDF Files (in .zip archive)

  8. Estimation
    1. Introduction
    2. Degrees of Freedom
    3. Characteristics of Estimators
    4. Bias and Variability Simulation
    5. Confidence Intervals
      1. Introduction
      2. Confidence Interval for the Mean
      3. t distribution
      4. Confidence Interval Simulation
      5. Confidence Interval for the Difference Between Means
      6. Confidence Interval for Pearson's Correlation
      7. Confidence Interval for a Proportion
    6. Exercises
    7. PDF Files (in .zip archive)

  9. Logic of Hypothesis Testing
    1. Introduction
    2. Significance Testing
    3. Type I and Type II Errors
    4. One- and Two-Tailed Tests
    5. Interpreting Significant Results
    6. Interpreting Non-Significant Results
    7. Steps in Hypothesis Testing
    8. Signficance Testing and Confidence Intervals
    9. Misconceptions
    10. Exercises
    11. PDF Files (in .zip archive)

  10. Testing Means
    1. Single Mean
    2. t Distribution Demo
    3. Difference between Two Means (Independent Groups)
    4. Robustnes Simulation
    5. All Pairwise Comparisons Among Means
    6. Specific Comparisons
    7. Difference between Two Means (Correlated Pairs)
    8. Correlated t Simulation
    9. Specific Comparisons (Correlated Observations)
    10. Pairwise Comparisons (Correlated Observations)
    11. Exercises
    12. PDF Files (in .zip archive)

  11. Power
    1. Introduction
    2. Example Calculations
    3. Power Demo 1
    4. Power Demo 2
    5. Factors Affecting Power
    6. Exercises
    7. PDF Files (in .zip archive)

  12. Prediction
    1. Introduction to Simple Linear Regression
    2. Linear Fit Demo
    3. Partitioning Sums of Squares
    4. Standard Error of the Estimate
    5. Prediction Line Demo
    6. Inferential Statistics for b and r
    7. Exercises
    8. PDF Files (in .zip archive)

  13. ANOVA
    1. Introduction
    2. ANOVA Designs
    3. One-Factor ANOVA (Between-Subjects)
    4. One-Way Demo
    5. Multi-Factor ANOVA (Between-Subjects)
    6. Unequal Sample Sizes
    7. Tests Supplementing ANOVA
    8. Within-Subjects ANOVA
    9. Power of Within-Subjects Designs Demo
    10. Exercises
    11. PDF Files (in .zip archive)

  14. Chi Square
    1. Chi Square Distribution
    2. One-Way Tables
    3. Testing Distributions Demo
    4. Contingency Tables
    5. 2 x 2 Table Simulation
    6. Exercises
    7. PDF Files (in .zip archive)

  15. Case Studies
    1. Angry Moods
    2. Flatulence
    3. Physicians Reactions to Patient Size
    4. Teacher Ratings
    5. Mediterranean Diet and Health
    6. Smiles and Leniency
    7. Animal Research
    8. ADHD Treatment
    9. Weapons and Aggression
    10. SAT and College GPA
    11. Stereograms
    12. Driving
    13. Guns and Aggression
    14. Stroop Interference
    15. TV Violence
    16. Bias Against Associates of the Obese
    17. Shaking and Stirring Martinis

  16. Calculators
    1. Analysis Lab
    2. Binomial Distribution
    3. Chi Square Distribution
    4. F Distribution
    5. Inverse Normal Distribution
    6. Inverse t Distribution
    7. Normal Distribution
    8. Power Calculator
    9. r to z'
    10. t Distribution
    11. Studentized Range Distribution

  17. Glossary

 Title Page
Instructions
List of Simulations and Demonstrations
  1. Introduction
  2. Graphing Distributions
  3. Summarizing Distributions
  4. Describing Bivariate Data
  5. Probability
  6. Normal Distributions
  7. Sampling Distributions
  8. Estimation
  9. Logic of Hypothesis Testing
  10. Testing Means
  11. Power
  12. Prediction
  13. ANOVA
  14. Chi Square
  15. Case Studies
  16. Calculators
  17. Glossary