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Quantitative Applications in the Social Sciences #90: Nonparametric Statistics: An Introduction

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Quantitative Applications in the Social Sciences #90: Nonparametric Statistics: An Introduction Cover

 

Synopses & Reviews

Synopsis:

Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small and large sample sizes. The methods are organized according to the type of sample structure that produced the data to be analyzed, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test and Friedman's test. The formal introduction of each test is followed by a data example, calculated first by hand and then by computer.

Product Details

ISBN:
9780803939516
Author:
Gibbons, Jean Dickinson
Publisher:
Sage Publications, Inc
Editor:
Gibbons, Jean D.
Author:
Gibbons
Location:
Newbury Park, Calif. :
Subject:
Research
Subject:
Nonparametric statistics
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Edition Description:
Includes bibliographical references p. 85-86.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
90
Publication Date:
19921031
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
96
Dimensions:
8.51x5.41x.25 in. .20 lbs.

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Related Subjects

History and Social Science » Sociology » Reference and Methodology
Religion » Comparative Religion » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #90: Nonparametric Statistics: An Introduction New Trade Paper
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Product details 96 pages Sage Publications - English 9780803939516 Reviews:
"Synopsis" by , Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small and large sample sizes. The methods are organized according to the type of sample structure that produced the data to be analyzed, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test and Friedman's test. The formal introduction of each test is followed by a data example, calculated first by hand and then by computer.
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