Visual Statistics: A Conceptual Primer

Visual Statistics: A Conceptual Primer

by Jack Fraenkel, Norman Wallen, Enoch I. Sawin
     
 

Statistics can be seen by many as a difficult or intimidating subject. Yet, those same individuals that are intimidated by the subject often need to use statistics. This book serves to make sense out of seemingly complex concepts and to offer an easy, visual way to understanding and using statistics. This book is written in a clear, easy-to-read manner with the… See more details below

Overview

Statistics can be seen by many as a difficult or intimidating subject. Yet, those same individuals that are intimidated by the subject often need to use statistics. This book serves to make sense out of seemingly complex concepts and to offer an easy, visual way to understanding and using statistics. This book is written in a clear, easy-to-read manner with the intention of making statistics simple. Through visual diagrams of the essential concepts used in statistical research, the book provides concise, short explanations designed to retain the readers' interest. The intelligent use of cartoons, figures, graphs, and charts make otherwise foreboding concepts easily understandable. Topics include correlation, regression, probability and measurements, amongst others. Statistics teachers, and anyone needing to use statistics in their work.

Product Details

ISBN-13:
9780205283170
Publisher:
Allyn & Bacon, Inc.
Publication date:
11/20/1998
Pages:
368
Product dimensions:
8.27(w) x 10.85(h) x 0.69(d)

Related Subjects

Table of Contents

I. SAMPLING.

1. Samples, Sampling, and Sampling Distributions.

II. ORGANIZING AND SUMMARIZING DATA.

2. Tables, Graphs, and Distributions.

3. Centers and Spreads (Summary Measures).

4. Measurement.

III. EXPERIMENTATION.

5. Experiments.

IV. LOOKING FOR RELATIONSHIPS IN DATA.

6. Relationships between Quantitative Variables: Correlation.

7. Relationships between Quantitative Variables: Regression.

8. Relationships between Categorical Variables.

V. DRAWING CONCLUSIONS FROM DATA.

9. Probability.

10. Inferential Reasoning.

Appendix Contents.

Bibliography.

Glossary.

Index.

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