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Quantitative Applications in the Social Sciences Ser.: Central Tendency and Variability by Herbert F. Weisberg (1991, Trade Paperback)
Better World Books West (354272)
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About this product
Product Identifiers
PublisherSAGE Publications, Incorporated
ISBN-100803940076
ISBN-139780803940079
eBay Product ID (ePID)422169
Product Key Features
Number of Pages96 Pages
Publication NameCentral Tendency and Variability
LanguageEnglish
SubjectMethodology, Research, Statistics
Publication Year1991
TypeTextbook
Subject AreaSocial Science
AuthorHerbert F. Weisberg
SeriesQuantitative Applications in the Social Sciences Ser.
FormatTrade Paperback
Dimensions
Item Height0.3 in
Item Weight5 Oz
Item Length8.4 in
Item Width5.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN91-034220
Dewey Edition20
Series Volume Number83
Volume NumberVol. 83
IllustratedYes
Dewey Decimal300.15195
Table Of ContentIntroduction Levels of Measurement Measures of Center Measures of Spread Center and Spread in Samples
SynopsisUsing an expository style that builds from simpler to more complex topics, this text explains how to measure the centre and variation on a single variable. It also considers ways to examine the distribution of variables and measure the spread of a variable., Using a clear, expository style that builds from simple to more complex topics, Weisberg explains how to measure the centre and variation on a single variable. Beginning with an exploration of how to measure variables with different numeric or non-numeric properties, the volume covers such important topics as ways to examine distributions of variables, ways to measure the spread of a variable in order to see how much the values on the variable differ, how to generalize the sample results to the population and the use of exploratory data analysis to measure centre and spread., Using a clear, expository style that builds from simple to more complex topics, Weisberg explains how to measure the center and variation on a single variable. Beginning with an exploration of how to measure variables with different numeric or nonnumeric properties, the volume covers such important topics as how to examine distribution of variables, how to measure the spread of a variable in order to see how much the values on the variable differ, how to generalize the sample results to the population, and the use of exploratory data analysis to measure center and spread. Researchers, practitioners, and students who need a "refresher" before doing a bivariate or multivariate analysis will find this book the perfect guide.
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