Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking (Paperback)

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking by Harvey Motulsky is a paperback introduction to interpreting statistics, written for health-science students and lab researchers rather than mathematicians.

Most biostatistics books teach how to compute. Motulsky, a physician and the creator of GraphPad Prism, teaches how to read results and avoid being fooled by them. The book explains confidence intervals, P values, multiple comparisons, regression, and survival analysis in plain language, with a running emphasis on what a result does and does not mean.

What's included

• Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, paperback
• Author: Harvey Motulsky
• Publisher: Oxford University Press
• ISBN-13: 9780190643560
• Covers confidence intervals, hypothesis testing, statistical power, multiple comparisons, nonparametric methods, regression, and common statistical traps

Who it's for

Medical, nursing, pharmacy, and public health students in a first biostatistics course, graduate students in biology and neuroscience who need to analyze their own data, and clinicians who want to read journal articles critically. Working scientists in labs and pharmaceutical companies use it as a refresher, and journal reviewers cite its chapters on statistical traps often.

Why this book

The nonmathematical approach is the whole point. Equations are kept to a minimum and every method is introduced by asking what question it answers. Later editions added expanded coverage of reproducibility, effect sizes, and the misuse of P values, which keeps the book aligned with how journals now expect results to be reported. It pairs well with any software; nothing in it depends on a particular package.

Frequently asked questions

Is Intuitive Biostatistics good for someone with no statistics background?

Yes. It assumes no prior course and keeps the math to arithmetic, which is why it is often assigned in medical and graduate programs for non-statisticians.

Does this book teach GraphPad Prism or R?

No. It is software-independent. It explains the ideas behind the analyses so you can use any program.

Is this a textbook with exercises?

It is written as a readable guide rather than a problem set. Chapters end with summaries and short review questions rather than long exercise lists.

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