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

By: Corty, Eric, 1955-.
Publisher: St. Louis : Mosby/Elsevier, c2007Description: xii, 596 p. : ill. (chiefly col.) ; 24 cm.ISBN: 0323035930 (pbk.); 9780323035934 (pbk.).Subject(s): Mathematical statistics -- Textbooks | Statistics -- Textbooks | Data Interpretation, Statistical | Statistics -- methodsDDC classification: 519.5
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.
Item type Current location Shelf location Call number Copy number Status Notes Date due Barcode
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 5, BayNo 2

 519.5 COR (Browse shelf) 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.