With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.

Statistics and Probability are not Intuitive -- The Complexities of Probability -- From Sample to Population -- Confidence Intervals -- Types of Variables -- Graphing Variability -- Quantifying Variation -- The Gaussian Distribution -- The Lognormal Distribution and Geometric Mean -- Confidence Interval for a Mean -- Error Bars -- Comparing Groups with Confidence Intervals -- Comparing Groups with P Values -- Statistical Significance and Hypothesis Testing -- Interpreting a Result that is (or is not) Statistically Significant -- How Common are Type I Errors? -- Multiple Comparisons -- Statistical Power and Sample Size -- Commonly Used Statistical Tests -- Normality Tests -- Outliers -- Correlation -- SImple Linear Regression -- Nonlinear, Multiple, and Logistic Regression -- Common Mistakes to Avois when Interpreting Published Statistics -- Review.