Foreword. Acknowledgements. Introduction. How to Use This Book.
1. Statistical Inquiry. Making Sense of Experience.
What is Statistics?
Descriptive and Inferential Statistics.
Collecting a Sample.
2. Describing our Sample. Statistical Variables.
Error, Accuracy, and Approximations.
3. Summarizing our Data. Tables and Diagrams.
Central Tendency (Averages).
Measures of Dispersion.
4. The Shape of a Distribution. Skewed Distributions.
Introducing the Normal Distribution.
Proportions Under the Normal Curve.
Comparing Values.
4. From Sample to Population. Estimates and Inferences.
The Logic of Sampling.
A Distribution of Sample-Means.
Estimating the Population-Mean.
Estimating Other Parameters.
5. Comparing Samples. From the Same or Different Populations?
Significance Testing.
The Significance of Significance.
Comparing Dispersions.
Non-Parametric Methods.
6. Further Matters of Significance. One- Versus Two-Tailed Tests.
Z-Tests and T-Tests.
Comparing Several Means.
Comparing Proportions.
7. Analyzing Relationships. Paired Values.
Three Kinds of Correlation.
The Strength of a Correlation.
The Significance of a Correlation Coefficient.
Interpreting a Correlation Coefficient.
Prediction and Regression.
Postscript. Review.
Caution.
