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A Primer in Data Reduction: An Introductory Statistics Textbook by Ehrenberg

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eBay item number:284319373606
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
A Primer in Data Reduction: An Introductory Statistics Textbook
Publication Date
2007-04-02
Pages
328
ISBN
9780471101352

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471101354
ISBN-13
9780471101352
eBay Product ID (ePID)
184511

Product Key Features

Number of Pages
328 Pages
Language
English
Publication Name
Primer in Data Reduction : an Introductory Statistics Textbook
Subject
Probability & Statistics / General, Research & Methodology
Publication Year
2007
Features
Reprint
Type
Textbook
Subject Area
Mathematics, Science
Author
Andrew S. C. Ehrenberg
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
17 Oz
Item Length
8.9 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
81-016360
Dewey Edition
19
TitleLeading
A
Illustrated
Yes
Dewey Decimal
519.5
Edition Description
Reprint
Table Of Content
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.
Synopsis
This is an introductory text in statistics for those who are not specialists in the subject. It makes the subject more relevant for students who have to use statistics as part of their other studies. It avoids mathematics without oversimplifying, emphasizing numeracy and relevance. It not only describes traditional statistical methods but deals with their limitations and discusses alternatives. The approach derives from the Authors earlier successful book on Data Reduction adapted here for classroom use. It covers the basic topics of a statistics course: averages and measures of scatter, frequency distributions and probability, sampling and statistical inference, relationships (including correlation regression, lawlike relationships, and an introduction to multivariate methods), the communication of data, and the design and interpretation of scientific studies. A teachers guide is available from the publishers. " Data Reduction is a very innovative different kind of basic statistical book. I believe our discipline and the disciplines of those whose students we teach would be much better off if we based our first and second courses on Ehrenbergs book rather than on any book of which I am aware." Brian L. Joiner, review of Data Reduction , JASA, September 1982 "It is rare for a text-book, particularly an elementary one, to appeal to the established practitioner many of the tenets contained in this excellent, clear, short and readable work, make one regret it was not available sooner." The Business Economist , Spring 1983 "If you have time to read just one book on basic statistics, The Primer should be it. Chuck Chakrapani, PMRS Journal , Toronto, Nov 1982, 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., 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.
LC Classification Number
QA276

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