BookElizabeth Heavey.
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.
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.