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Biostatistics for rookies / Maureen K. Johnson and Wan-Ju "Jennifer" Yen.

By: Johnson, Maureen K [author.].
Contributor(s): Yen, Wan-Ju "Jennifer" [author.].
Publisher: Dubuque, IA : Kendall Hunt Publishing company, 2016Description: iii, 71 pages : illustrations ; 28 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781465267283.Subject(s): BiometryGenre/Form: Print books.
Contents:
1. General research concepts -- 2. Type of variables -- 3. Reporting summary statistics for dichotomous, categorical, and ordinal variables -- 4. Reporting summary statistics for continuous variables -- 5. Probability -- 6. Normal distributions -- 7. From populations to samples -- 8. Hypothesis testing: one sample -- 9. Hypothesis testing: t-statistics for matched pairs -- 10. Confidence intervals -- 11. Hypothesis testing: z- and t-statistics for two independent samples -- 12. ANOVA -- 13. Chi-square test for association -- 14. Correlation and simple linear regression -- References.
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Current location Call number Status Date due Barcode Item holds
On Shelf QH323.5 .J646 2016 (Browse shelf) Available AU0000000005278
Total holds: 0

Maureen K. Johnson is Associate Professor and Wan-Ju "Jennifer" is Assistant Professor in the department of Applied Health Sciences at Indiana State University. Dr. Johnson has instructed undergraduate biostatistics since the Fall 2010 semester. Dr. Yen is a Registered Dietitian and instructs various nutrition courses.

Includes bibliographical references.

1. General research concepts -- 2. Type of variables -- 3. Reporting summary statistics for dichotomous, categorical, and ordinal variables -- 4. Reporting summary statistics for continuous variables -- 5. Probability -- 6. Normal distributions -- 7. From populations to samples -- 8. Hypothesis testing: one sample -- 9. Hypothesis testing: t-statistics for matched pairs -- 10. Confidence intervals -- 11. Hypothesis testing: z- and t-statistics for two independent samples -- 12. ANOVA -- 13. Chi-square test for association -- 14. Correlation and simple linear regression -- References.

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