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Starting Statistics : a Short, Clear Guide.

Author: Neil Burdess
Publisher: London : Sage Publications, 2010.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Statistics: A Short, Clear Guide is an accessible, humorous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x's and y's, he shows that it's the intellectual questions that come  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Burdess, Neil.
Starting Statistics : A Short, Clear Guide.
London : Sage Publications Ltd., ©2010
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Neil Burdess
ISBN: 9781446200322 1446200329 1283289369 9781283289368
OCLC Number: 699474194
Description: 1 online resource (201 pages)
Contents: COVER; Contents; Part One --
Measurement; 1 Introducing measurement; 2 Measuring numbers; 3 Measuring categories; Part Two --
Standardisation; 4 Introducing standardisation; 5 Standardising categories; 6 Standardising numbers; Part Three --
Correlations; 7 Introducing correlations; 8 Correlations between categories; 9 Correlations between numbers; Part Four --
Sampling and estimation; 10 Introducing sampling; 11 Estimating numbers; 12 Estimating categories; Part Five --
Hypothesis testing; 13 Introducing hypothesis testing; 14 Hypotheses about categories; 15 Hypotheses about numbers. 16 Hypotheses about categories and numbersReferences; Index.

Abstract:

Statistics: A Short, Clear Guide is an accessible, humorous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x's and y's, he shows that it's the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you? Statistics: A Sh.

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