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

By: Publication details: St. Louis : Mosby/Elsevier, c2007.Description: xii, 596 p. : ill. (chiefly col.) ; 24 cmISBN:
  • 0323035930 (pbk.)
  • 9780323035934 (pbk.)
Subject(s): DDC classification:
  • 519.5 COR
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 intervals. 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.
Holdings
Cover image Item type Current library Home library Collection Shelving location Shelf location Call number Materials specified Vol info Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 4, BayNo 2

 519.5 COR (Browse shelf(Opens below)) 1 Available SOMxx,33001,03,GR 5000095154

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 intervals. 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.