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Using and interpreting statistics : a practical text for the health, behavioral, and social sciences / Eric W. Corty.

By: Material type: TextPublication details: St. Louis, Mo. : Mosby Elsevier, c2007.Description: xii, 596 p. : ill. (chiefly col.) ; 24 cmISBN:
  • 0323035930
  • 9780323035934
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276.12 .C675 2007
Online resources:
Contents:
1 Introduction to statistics: purpose, measurement, terminology, and rounding -- 2 Tables and graphs -- 3 Transformed scores I: percentile ranks -- 4 Descriptive statistics: measuring central tendency and variability -- 5 Transformed scores II: standard scores and the normal distribution -- 6 Sampling and confidence levels -- 7 Relationship tests and hypothesis testing: the Pearson product moment correlation coefficient -- 8 Interpreting Pearson product moment correlation coefficients -- 9 Two-sample difference tests: the independent-samples t test -- 10 Multi-sample difference tests I: one way analysis of variance -- 11 Multi-sample difference tests II: factorial and repeated-measures analysis of variance -- 12 The Chi-square test for contingency tables -- 13 What test when: choosing the appropriate statistical test.
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Books TMU-LIBRARY QA276.12 .C675 2007 (Browse shelf(Opens below)) 8424 Available 2017/8424

Includes bibliographical references and index.

1 Introduction to statistics: purpose, measurement, terminology, and rounding -- 2 Tables and graphs -- 3 Transformed scores I: percentile ranks -- 4 Descriptive statistics: measuring central tendency and variability -- 5 Transformed scores II: standard scores and the normal distribution -- 6 Sampling and confidence levels -- 7 Relationship tests and hypothesis testing: the Pearson product moment correlation coefficient -- 8 Interpreting Pearson product moment correlation coefficients -- 9 Two-sample difference tests: the independent-samples t test -- 10 Multi-sample difference tests I: one way analysis of variance -- 11 Multi-sample difference tests II: factorial and repeated-measures analysis of variance -- 12 The Chi-square test for contingency tables -- 13 What test when: choosing the appropriate statistical test.

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