# Statistics Without Tears: A Primer for Non-Mathematicians (Allyn & Bacon Classics Edition)

Derek Rowntree
Title Statistics Without Tears: A Primer for Non-Mathematicians (Allyn & Bacon Classics Edition)
Edition 1st
ISBN 9780205395095
ISBN 10 0205395090
Published 19/06/2003
Pages 208
Format Paperback
Out of stock

Total Price \$78.95 Add to Cart
##### Description

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.

##### Features & benefits
• Focuses on the ideas behind statistics only; students are not required to perform any calculations.
• A complete text for students who mainly need to become good “consumers” of statistics in their fields (such as interpreting others' research reports).
• Also provides a good conceptual picture of statistics as a whole, for students who will also need to become “producers” of statistics.
• Author uses a question-and-answer presentation style to help students learn on their own.