Intuitive Biostatistics *US PAPERBACK* 4th Ed. A Nonmathematical Guide to Statistical Thinking By Harvey Motulsky - (9780190643560)

Focus on Meaningful Interpretation, Not Just Calculations:

This book breaks the mold by teaching biostatistics concepts without relying heavily on complex mathematics. Instead, it emphasizes understanding and interpreting statistical results in real-world research settings. This makes it ideal for those in the health sciences without prior biostatistics knowledge, lab professionals seeking a conceptual grasp, and even undergraduate/graduate students or working scientists needing a statistics refresher.

Key Features:

• Minimal Math: Complicated equations are replaced by intuitive examples and reasoning, making the content accessible for non-mathematicians.
• Interpretation Expertise: The book dives deep into interpreting key statistical concepts like confidence intervals, p-values, and statistical significance, helping readers avoid misinterpretations and draw meaningful conclusions.
• Common Pitfall Awareness: It identifies and explains frequent mistakes in statistical analysis and interpretation, allowing readers to navigate potential pitfalls in their own work.
• Real-World Relevance: Numerous case studies and examples from various biological and medical research fields illustrate the concepts and their practical applications.
• Practical Guidance: The book offers actionable advice on designing research studies, collecting data, choosing appropriate statistical methods, and effectively presenting results.

Topics Covered:

• Statistical Thinking Fundamentals: Probability, sampling, variability, bias, and data presentation.
• Descriptive Statistics: Summarizing data with measures like mean, median, and standard deviation.
• Hypothesis Testing: Understanding p-values, statistical significance, and null hypothesis testing.
• Confidence Intervals: Interpreting the range of plausible values for a population parameter based on sample data.
• Common Statistical Tests: t-tests, chi-square tests, ANOVA, regression analysis, and more.
• Research Design: Principles of good research design to ensure valid and reliable data.
• Ethical Considerations: Addressing ethical issues in statistical analysis and reporting.

Overall, Intuitive Biostatistics goes beyond formulas and calculations to empower readers with the ability to critically evaluate and apply statistical results in their chosen field.