---
product_id: 73332931
title: "Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking"
price: "€ 271.01"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.pt/products/73332931-intuitive-biostatistics-a-nonmathematical-guide-to-statistical-thinking
store_origin: PT
region: Portugal
---

# Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking

**Price:** € 271.01
**Availability:** ✅ In Stock

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- **What is this?** Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking
- **How much does it cost?** € 271.01 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pt](https://www.desertcart.pt/products/73332931-intuitive-biostatistics-a-nonmathematical-guide-to-statistical-thinking)

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## Description

Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.

Review: The best book in its category - Statistics is hard, and I'm speaking as someone with a modest mathematics background. My approach has always been to build up a proper intuition on a particular subject of interest. This book is exactly what I've been looking for for statistics. And what's more, it's immensely readable and fun! The book revolves around the fundamental concept of confidence interval (CI) in how it aids statisticians in making conclusions. An in-depth, intuition-building treatment of CI is presented satisfyingly in the first few chapters. And then, statistical significance is discussed; Dr. Motulsky carefully describes how it relates to CI, and imparts wisdom on how one should properly interpret statistical significance, taking into account the False Positive Report Probability (FPRP) and prior probability. Statistical power and how it's affected by sample size, effect size, and significance level are discussed. Various statistical tests, techniques for fitting models to data (linear and non-linear regressions, logistic regression, etc.), and the rest of statistics (e.g. ANOVA, nonparametric methods, etc.) are presented, and again, the theme of CI (and statistical significance) are weaved throughout. This book is incredibly satisfying not only because of what I mentioned above, but also for how it guides one through understanding the common traps and pitfalls and how to avoid them. For example, Dr. Motulsky shows how easy it is to be fooled by multiple comparisons as one tries to make crisp decisions based on statistical significance from limited data. Another example is how common it is for well-meaning researchers to do, among other things, P-hacking in their quests for statistical significance (and thus many published results are not reproducible). In the end, this book definitely accomplishes its goal: It builds one's intuition on how to think about your data, how to apply statistics properly, how to avoid pitfalls, and how to publish statistical results properly. If you're like me, you want to learn from Dr. Motulsky. I highly recommend this book.
Review: This book can be renamed Statistical Wisdom - Just an excellent text. Probability and statistics are about removing noise. Being able to perform calculations is only One aspect, and the easy portion of data analysis typically. This text provides the wisdom needed to use probability and statistics for their real purpose, removing noise in data and in data interpretation. Absolutely excellent book for undergraduates or graduate students in probability/statistics or any science (hard or soft). I can’t emphasize enough how useful this text is in helping beginners and intermediate users of probability and statistics avoid making errors in data interpretation, and really helping them understand what their data means and the context in which it has said meaning.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #581,060 in Books ( See Top 100 in Books ) #61 in Biostatistics (Books) #163 in Medical Research (Books) #233 in Biology (Books) |
| Customer Reviews | 4.5 out of 5 stars 181 Reviews |

## Images

![Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking - Image 1](https://m.media-amazon.com/images/I/81xBiUa+1pL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ The best book in its category
*by D***. on September 14, 2020*

Statistics is hard, and I'm speaking as someone with a modest mathematics background. My approach has always been to build up a proper intuition on a particular subject of interest. This book is exactly what I've been looking for for statistics. And what's more, it's immensely readable and fun! The book revolves around the fundamental concept of confidence interval (CI) in how it aids statisticians in making conclusions. An in-depth, intuition-building treatment of CI is presented satisfyingly in the first few chapters. And then, statistical significance is discussed; Dr. Motulsky carefully describes how it relates to CI, and imparts wisdom on how one should properly interpret statistical significance, taking into account the False Positive Report Probability (FPRP) and prior probability. Statistical power and how it's affected by sample size, effect size, and significance level are discussed. Various statistical tests, techniques for fitting models to data (linear and non-linear regressions, logistic regression, etc.), and the rest of statistics (e.g. ANOVA, nonparametric methods, etc.) are presented, and again, the theme of CI (and statistical significance) are weaved throughout. This book is incredibly satisfying not only because of what I mentioned above, but also for how it guides one through understanding the common traps and pitfalls and how to avoid them. For example, Dr. Motulsky shows how easy it is to be fooled by multiple comparisons as one tries to make crisp decisions based on statistical significance from limited data. Another example is how common it is for well-meaning researchers to do, among other things, P-hacking in their quests for statistical significance (and thus many published results are not reproducible). In the end, this book definitely accomplishes its goal: It builds one's intuition on how to think about your data, how to apply statistics properly, how to avoid pitfalls, and how to publish statistical results properly. If you're like me, you want to learn from Dr. Motulsky. I highly recommend this book.

### ⭐⭐⭐⭐⭐ This book can be renamed Statistical Wisdom
*by B***Y on April 11, 2020*

Just an excellent text. Probability and statistics are about removing noise. Being able to perform calculations is only One aspect, and the easy portion of data analysis typically. This text provides the wisdom needed to use probability and statistics for their real purpose, removing noise in data and in data interpretation. Absolutely excellent book for undergraduates or graduate students in probability/statistics or any science (hard or soft). I can’t emphasize enough how useful this text is in helping beginners and intermediate users of probability and statistics avoid making errors in data interpretation, and really helping them understand what their data means and the context in which it has said meaning.

### ⭐⭐⭐⭐⭐ Helpful and interesting text!
*by T***R on June 21, 2021*

I can’t imagine it is easy to write a text about statistics that is funny, interesting and useful. The author obviously put a lot of effort into this! Very enjoyable and refreshing read for my course.

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*Product available on Desertcart Portugal*
*Store origin: PT*
*Last updated: 2026-05-18*