## The analysis of biological dataThe Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. Whitlock and Schluter use several techniques to reach this unique audience. Throughout, they teach statistics in the context of interesting biological and medical examples; they emphasize intuitive understanding rather than an over-reliance on formulas; they focus on the data rather than the mathematical foundations of statistics; and they introduce - on a conceptual level - modern topics such as likelihood, regression, randomization, meta-analysis and the bootstrap. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and the wide variety of fascinating and relevant biological examples. |

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Amazing textbook! It has an excellent approach to complicated statistics, by using engaging examples the subject is made very clear and comprehensible, even for someone who is new to statistics. I definitely recommend this book for anyone interested in knowing more about biological statistics and research data.

#### Review: The Analysis of Biological Data

User Review - Siria - GoodreadsThis text is covers topics to satisfy those seeking to refresh their knowledge of statistics as well as those looking for an advanced understanding of theory and application. It's organized in a ... Read full review

### Contents

INTRODUCTION TO STATISTICS | 1 |

INTRODUCTION TO STATISTICS | 10 |

Biology and the history of statistics | 20 |

Copyright | |

33 other sections not shown

### Common terms and phrases

alternative hypothesis ANOVA approximate assume assumptions average binomial distribution binomial test birds bootstrap calculate categorical variables chance Chapter chromosome coefficient compared confidence interval correlation critical value curve data points degrees of freedom effect equal estimate example expected frequencies experimental explanatory variable females Figure fish frequency distribution genes goodness-of-fit test graph groups histogram human hypothesis testing independent individuals interquartile range likelihood linear log-likelihood male mate measurements median meta-analysis method normal distribution null distribution null hypothesis number of successes numerical variable observed odds ratio outcomes P-value paired panel parameter Poisson distribution population mean Pr[A predicted probability distribution proportion random sample reject the null researchers response variable sample mean sampling distribution scatter plot shows squares standard deviation standard error standard normal Statistical Table tail test statistic tion total number treatment two-sample test Type I error variance x2 distribution zero