Statistics explained

Statistics explained

by Hinton, Perry R., (Perry Roy)

Type Book
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Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader's statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book:provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research datagives accessible explanations of how and why statistical tests are usedincludes a wide range of practical, easy-to-understand worked examples. Buil…

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Title Statements

  • Full title :Statistics explained / Perry R. Hinton.

Summary

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader's statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book:provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research datagives accessible explanations of how and why statistical tests are usedincludes a wide range of practical, easy-to-understand worked examples. Buildi.

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Edition Statements

  • Publication Date:2014.
  • Edition:Third edition

Publication Statements

The Physical Object

  • Description:1 online resource (xvii, 357 pages) : : color illustrations

Edition Identifiers

  • ISBN:9781317753919, 1317753917, 9781315797564, 1315797569, 9781317753926, 1317753925, 9781317753902, 1317753909
  • oclc:ocn874563141
  • LC Classification:BF39
  • Dewey Decimal:519.5

Table of Contents

Ch. 1. Introduction -- ch. 2. Descriptive statistics -- ch. 3. Standard scores -- ch. 4. Introduction to hypothesis testing -- ch. 5. Sampling -- ch. 6. Hypothesis testing with one sample -- ch. 7. Selecting samples for comparison -- ch. 8. Hypothesis testing with two samples -- ch. 9. Significance, error and power -- ch. 10. Samples and statistical inference -- ch. 11. Introduction to the analysis of variance -- ch. 12. One factor independent anova -- ch. 13. Multiple comparisons -- ch. 14. One factor repeated measures anova -- ch. 15. The interaction of factors in the analysis of variance -- ch. 16. The two factor anova -- ch. 17. Two sample nonparametric analysis -- ch. 18. One factor anova for ranked data -- ch. 19. Analysing frequency data : Chi-Square -- ch. 20. Linear correlation and regression -- ch. 21. Multiple correlation and regression -- ch. 22. Complex analyses -- ch. 23. An introduction to the general linear model -- ch. 24. Postscript.

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