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

Format:

Book

Author/Creator:

Corty, Eric, 1955-

Language:

English

Subjects (All):

Mathematical statistics--Textbooks.

Mathematical statistics.

Statistics--Textbooks.

Statistics.

Data Interpretation, Statistical.

Statistics as Topic--methods.

Medical Subjects:

Data Interpretation, Statistical.

Statistics as Topic--methods.

Genre:

Textbooks.

Physical Description:

xii, 596 pages : illustrations (chiefly color) ; 24 cm

Place of Publication:

St. Louis, Mo. : Mosby Elsevier, [2007]

Summary:

Using and Interpreting Statistics is a uniquely engaging and easy-to-understand introductory statistics text for the health, behavioral, and social sciences, as well as general statistics courses. Written by an award-winning master teacher, this full-color text the only full-color statistics text on the market covers all the essential topics needed for a first course in statistics. It uses a variety of memorable examples not only from the health, behavioral, and social sciences, but also from everyday life to help drive home important topics and help students apply the material to their course of study. In addition, a unique collection of research-based learning aids promotes in-depth learning. Features include Chapter Roadmaps, Group Practice Exercises, Review Exercises and Homework Problems, and a unique Tom and Harry mnemonic that helps students routinize statistical decision-making.

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 Multiple-sample difference tests I: one way analysis of variance

11 Multiple-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.

Notes:

Includes bibliographical references and index.

ISBN:

0323035930

9780323035934

OCLC:

70158585