Statistics Explained

Statistics Explained: a Guide for Social Science Students

by Hinton, Perry

Type Book
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This book clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences and provides easy-to-understand explanations of how and why they are used and makes statistics much less of a burden.

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Title Statements

  • Full title :Statistics Explained : a Guide for Social Science Students.

Summary

This book clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences and provides easy-to-understand explanations of how and why they are used and makes statistics much less of a burden.

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Edition Statements

  • Publication Date:2004.
  • Edition:2nd ed

Publication Statements

  • Publisher(s):Routledge
  • Place of Publication:London
  • Language:eng
  • Publication Date:2004.

The Physical Object

  • Description:1 online resource (400 pages)

Edition Identifiers

  • ISBN:9780203496787, 0203496787
  • oclc:ocn437055848
  • LC Classification:BF39 .H54 2004eb
  • Dewey Decimal:519.5

Table of Contents

Book Cover; Title; Copyright; Dedication; Contents; Figures; Preface; Preface to the Second Edition; Chapter 1 Introduction; Chapter 2 Descriptive statistics; Chapter 3 Standard scores; Chapter 4 Introduction to hypothesis testing; Chapter 5 Sampling; Chapter 6 Hypothesis testing with one sample; Chapter 7 Selecting samples for comparison; Chapter 8 Hypothesis testing with two samples; Chapter 9 Significance, error and power; Chapter 10 Introduction to the analysis of variance; Chapter 11 One factor independent measures ANOVA; Chapter 12 Multiple comparisons.

Chapter 13 One factor repeated measures ANOVAChapter 14 The interaction of factors in the analysis of variance; Chapter 15 Calculating the two factor ANOVA; Chapter 16 An introduction to nonparametric analysis; Chapter 17 Two sample nonparametric analysis; Chapter 18 One factor ANOVA for ranked data; Chapter 19 Analysing frequency data: chi-square; Chapter 20 Linear correlation and regression; Chapter 21 Multiple correlation and regression; Chapter 22 Comp.

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