This text uses words and diagrams, rather than formulas and equations, to help students from all subject areas understand what statistics is and how to think statistically.
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.