Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences

Nonfiction, Social & Cultural Studies, Social Science
Cover of the book Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by Dr. William E. Wagner, Brian Joseph Gillespie, SAGE Publications
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Author: Dr. William E. Wagner, Brian Joseph Gillespie ISBN: 9781544321097
Publisher: SAGE Publications Publication: February 28, 2018
Imprint: SAGE Publications, Inc Language: English
Author: Dr. William E. Wagner, Brian Joseph Gillespie
ISBN: 9781544321097
Publisher: SAGE Publications
Publication: February 28, 2018
Imprint: SAGE Publications, Inc
Language: English

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner, III and Brian J. Gillespie is designed to be paired withany undergraduate introduction to researchmethods text used by students in a varietyof disciplines. It introduces students tostatistics at the conceptual level—examining the meaning of statistics, and whyresearchers use a particular statisticaltechnique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner, III and Brian J. Gillespie is designed to be paired withany undergraduate introduction to researchmethods text used by students in a varietyof disciplines. It introduces students tostatistics at the conceptual level—examining the meaning of statistics, and whyresearchers use a particular statisticaltechnique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

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