A Primer in Data Reduction: An Introductory Statistics Textbook / Edition 1

A Primer in Data Reduction: An Introductory Statistics Textbook / Edition 1

by Andrew S. C. Ehrenberg
ISBN-10:
0471101354
ISBN-13:
9780471101352
Pub. Date:
04/02/2007
Publisher:
Wiley
ISBN-10:
0471101354
ISBN-13:
9780471101352
Pub. Date:
04/02/2007
Publisher:
Wiley
A Primer in Data Reduction: An Introductory Statistics Textbook / Edition 1

A Primer in Data Reduction: An Introductory Statistics Textbook / Edition 1

by Andrew S. C. Ehrenberg

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Overview

A concise, easy to understand introduction that emphasizes the relevance of statistics to real world problems. Describes traditional statistical methods, their uses and limitations, and explains how to reduce numerical data to statistical summaries, how to interpret the results, and how to present the data clearly. Minimizes mathematics without oversimplification and illustrates theories with practical, varied examples. Statistical tables and answers to the exercises are included.

Product Details

ISBN-13: 9780471101352
Publisher: Wiley
Publication date: 04/02/2007
Pages: 328
Product dimensions: 6.04(w) x 8.94(h) x 0.78(d)

About the Author

Andrew Ehrenberg (1 May 1926 – 25 August 2010) was a statistician and marketing scientist. For over half a century, he made contributions to the methodology of data collection, analysis and presentation, and to understanding buyer behaviour and how advertising works.
 
Andrew Ehrenberg was born in Germany in 1926 into a well-known academic family. His father was Hans Ehrenberg, his uncle was the historian Victor Ehrenberg, and Geoffrey and Lewis Elton his cousins. He moved to England with his parents in 1938, and attended Queen's College, Taunton. Subsequently he studied statistics at Kings College, Newcastle and Cambridge University.

Table of Contents

STATISTICAL VARIATION.

Averages.

Scatter.

Structured Tables.

FREQUENCY DISTRIBUTIONS.

Observed Distributions.

Theoretical Distributions.

Probability Models.

SAMPLING.

Taking a Sample.

How Sample Means Vary.

Estimation.

Tests of Significance.

RELATIONSHIPS.

Correlation.

Regression.

Many Sets of Data.

Many Variables.

COMMUNICATING DATA.

Numbers.

Tables.

Graphs.

Words.

EMPIRICAL GENERALIZATIONS.

Description.

I Explanation.

Observation and Explanation.

Appendixes.

Index.
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