Includes bibliographical references and index.

Chapter 1. Introduction to Statistics and Levels of Measurement -- Introduction -- Population Versus Sample -- Quantitative Versus Qualitative -- Independent Versus Dependent Variables -- Continuous Versus Categorical Variables -- FTS: What Is a Statistic? -- Levels of Measurement -- Summary -- Review Exercises -- Chapter 2. Presenting Data -- Frequency Distributions -- Percentages -- FTS: Quantiles, Quartiles, and Percentiles---Oh My! -- Bar Chart -- Histograms -- Line Graphs -- Scatterplots -- Summary -- Review Exercises -- Chapter 3. Descriptive Statistics, Probability, and Measures of Central Tendency -- Descriptive Statistics: Properties of Variables -- Measures of Central Tendency -- Range and Sample Standard Deviation -- FTS: Why Is There an n - 1 in the Denominator of Sample Variance? -- Moving Forward: Inferential Statistics -- FTS: Probability and the Normal Distribution -- Frequency Distributions Versus Probability Distributions -- The Normal Distribution -- FTS: What Is a Normal Distribution? -- Skewed Distributions -- Summary -- Review Exercises -- Chapter 4. Evaluating Your Measurement Tool -- Feasibility -- Validity -- Reliability -- Screening Tests -- Sensitivity -- Specificity -- FTS: Sensitivity and Specificity -- Positive Predictive Value of a Screen -- Negative Predictive Value -- Efficiency -- Summary -- Review Exercises -- Chapter 5. Sampling Methods -- Sampling Methods -- Probability Sampling -- Sampling Error Versus Sampling Bias -- Sampling Distributions -- FTS: The Central Limit Theorem and Standardized Scores -- Nonprobability Sampling -- Inclusion and Exclusion Criteria -- Summary -- Review Exercises -- Chapter 6. Generating the Research Idea -- Hypothesis Testing -- Statistical Significance -- FTS: Alpha of 0.05: Standard Convention Versus Evidence Based -- Statistical Significance Versus Clinical Significance -- FTS: Statistical Testing -- Summary -- Review Exercises -- Chapter 7. Sample Size, Effect Size, and Power -- Effect Size -- FTS: The Four Pillars of Study Planning -- Type Two Error -- A Quick Review of Type One and Type Two Errors -- FTS: Which Error Is Worse? The Lesser of Two Evils -- Sample Size -- FTS Methods: Calculating Effect Size by Hand -- Summary -- Review Exercises -- Chapter 8. Chi-Square -- Chi-Square (X2) Test -- The Null and Alternative Hypotheses -- 2 × 2 Table -- Degrees of Freedom -- Statistical Significance -- Direction of the Relationship -- FTS: Pearson's Chi-Square Test for Association -- When Not to Use Chi-Square: Special Cases -- FTS Methods: Calculating Pearson's Chi-Square Test by Hand -- Summary -- Review Exercises -- Chapter 9. Student t-Test -- The Student t-Test -- Appropriate Use of the Student t-Test -- FTS: Let's Talk t-Tests -- The Null and Alternative Hypotheses -- Statistical Significance -- FTS: Using a One-Tailed Test -- Degrees of Freedom .for Student t-Tests -- FTS Methods: Student's t-Test -- Summary -- Review Exercises -- Chapter 10. Analysis of Variance (ANOVA) -- Comparing More Than Two Samples -- The Null and Alternative Hypotheses -- Degrees of Freedom -- Statistical Significance -- FTS: Relationship Between Distributions -- Appropriate Use of ANOVA -- Repeat-Measures ANOVA -- Issues of Concern with Repeat-Measures ANOVA -- Appropriate Use of Repeat-Measures ANOVA -- FTS Methods: Calculating an F-Statistic -- Summary -- Review Exercises -- Chapter 11. Correlation Coefficients -- Looking for a Relationship in One Sample -- The Null and Alternative Hypotheses -- Selecting the Best Correlation Test to Use -- Direction of the Relationship -- Sample Size -- Strength of the Relationship -- Statistical Significance -- Appropriate Use of Correlation Coefficients -- More Uses for Pearson's r -- FTS Methods: Correlation Coefficients -- Summary -- Review Exercises -- Chapter 12. Relative Risk, Odds Ratio, and Attributable Risk -- Epidemiology -- Study Designs Used in Epidemiology -- Attributable Risk -- Summary -- Review Exercises -- Appendix A. Practice Article: Doering et al -- Appendix B. Practice Article: Chang et al -- Appendix C. Tables for Reference.

"Professional nurses must be able to critique and understand the strengths and weaknesses of statistical design and analysis in order to be able to develop evidence-based practices in a clinical setting. Statistics for Nursing: A Practical Approach teaches entry-level nursing students the selection, application, and evaluation of statistical analysis techniques, as well as the evaluation and clinical application of the results derived from this analysis. Written in a clear, straightforward manner, this comprehensive text includes chapter objectives, clinical research focus, research application boxes, chapter summaries, key terms for each chapter, review questions, application exercises, and much more." "The text is accompanied by a full companion website for students and faculty. Student resources include an interactive online glossary, crossword puzzles, animated flashcards, matching exercises, article links, and review questions." "Faculty resources include PowerPoint slides, answers to the review questions and practice problems connected to the student article readings and questions, a TestBank, and a comprehensive walkthrough SPSS tutorial."--BOOK JACKET.