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Measures of Association by Albert M. Liebetrau (Sage Series no. 32) - Picture 1 of 1
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Measures of Association by Albert M. Liebetrau (Sage Series no. 32)

carolina298
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US $7.99
ApproximatelyC $11.02
Condition:
Like New
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Located in: Washington, District Of Columbia, United States
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Estimated between Thu, Aug 7 and Wed, Aug 13 to 94104
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eBay item number:143089923311
Last updated on Sep 13, 2021 17:05:50 EDTView all revisionsView all revisions

Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Subject
Series
Topic
Books
ISBN-13
9780803919747
Educational Level
Professional
ISBN
9780803919747
EAN
9780803919747

About this product

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
0803919743
ISBN-13
9780803919747
eBay Product ID (ePID)
256842

Product Key Features

Number of Pages
96 Pages
Language
English
Publication Name
Measures of Association
Publication Year
1983
Subject
Research, Statistics
Type
Textbook
Author
Albert M. Liebetrau
Subject Area
Social Science
Series
Quantitative Applications in the Social Sciences Ser.
Format
Trade Paperback

Dimensions

Item Height
0.2 in
Item Weight
5 Oz
Item Length
8.5 in
Item Width
5.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
83-060229
Series Volume Number
32
Illustrated
Yes
Volume Number
Vol. 32
Synopsis
Clearly reviews the properties of important contemporary measures of association and correlation. Liebetrau devotes full chapters to measures for nominal, ordinal, and continuous (interval) data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals. Valuable discussions also focus on the relationships between various measures, the sampling properties of their estimators and the comparative advantages and disadvantages of different approaches., Clearly reviews the properities of important contemporary measures of association and correlation. Devotes full chapters to measures for nominal, ordinal, and continuous data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals.

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carolina298

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