Statistics for nursing : a practical approach / Elizabeth Heavey.

By: Heavey, Elizabeth [author.]
Language: English Publisher: Burlington, MA : Jones & Bartlett Learning, [2024]Edition: Fourth editionDescription: xiii, 252 pages : illustrations ; 28 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781284254907; 1284254909Subject(s): Nursing -- Statistical methods | Statistics | Statistics as Topic | Nursing ResearchGenre/Form: Nurses InstructionDDC classification: 610.73072/7 LOC classification: RT68 | .H43 2024
Contents:
Introduction to statistics and levels of measurement -- Presenting data -- Descriptive statistics, probability, and measures of central tendency -- Measuring data -- Sampling methods -- Generating the research idea -- Sample size, effect size, and power -- Chi-square -- Student t-test -- Analysis of variance (ANOVA) -- Correlation coefficients -- Regression analysis -- Relative risk vs. absolute risk and other public health measures you commonly see.
Summary: "Today's nurse faces even more questions about understanding and interpreting data. Although statistics has not changed in its essence, nurses are leveraging new technologies to interpret data in the clinical space. Understanding how to use that information and make successful clinical decisions are the essence of the role of the nurse. The 4th edition will provide new research and highlight an unfolding case study that is used throughout the text to connect concepts to situations, equipping students and instructors with the right tools to leverage the data in a safe and accurate way"-- Provided by publisher.
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SUBJECT REFERENCE 		610.730727 H3528 2024 (Browse shelf) Available (In Process)
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Includes online access.

Includes bibliographical references (page 247) and index.

Introduction to statistics and levels of measurement -- Presenting data -- Descriptive statistics, probability, and measures of central tendency -- Measuring data -- Sampling methods -- Generating the research idea -- Sample size, effect size, and power -- Chi-square -- Student t-test -- Analysis of variance (ANOVA) -- Correlation coefficients -- Regression analysis -- Relative risk vs. absolute risk and other public health measures you commonly see.

"Today's nurse faces even more questions about understanding and interpreting data. Although statistics has not changed in its essence, nurses are leveraging new technologies to interpret data in the clinical space. Understanding how to use that information and make successful clinical decisions are the essence of the role of the nurse. The 4th edition will provide new research and highlight an unfolding case study that is used throughout the text to connect concepts to situations, equipping students and instructors with the right tools to leverage the data in a safe and accurate way"-- Provided by publisher.

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