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## Details

Genre/Form: | Electronic books |
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Additional Physical Format: | Print version: Dytham, Calvin. Choosing and using statistics. Hoboken, NJ : Wiley-Blackwell, 2011 (DLC) 2010030975 (OCoLC)649927552 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Calvin Dytham |

ISBN: | 9781405198387 1405198389 9781405198394 1405198397 9781444328431 1444328433 |

OCLC Number: | 695565374 |

Description: | 1 online resource (xvi, 298 pages) : illustrations |

Contents: | Choosing and Using Statistics: A Biologist's Guide; Contents; Preface; 1 Eight steps to successful data analysis; 2 The basics; 3 Choosing a test: a key; 4 Hypothesis testing, sampling and experimental design; 5 Statistics, variables and distributions; 6 Descriptive and presentational techniques; 7 The tests 1: tests to look at differences; 8 The tests 2: tests to look at relationships; 9 The tests 3: tests for data exploration; Symbols and letters used in statistics; Glossary; Assumptions of the tests; Hints and tips; A table of statistical tests; Index. |

Responsibility: | by Calvin Dytham. |

More information: |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

"Written in a concise and direct style, this book presents a selection of some of the most widely used statistical tests and data exploration techniques." (Biological Conservation, 1 March 2012) "Written in a concise and direct style, this book presents a selection of some of the most widely used statistical tests and data exploration techniques ... In general, this book is a very good primer for students with no statistical expertise." (Biological Conservation Reviews, 2011) "This book makes everything so easy. Complicated tests are effortlessly condensed, and the instructions are almost too easy to follow. Diagrams and sample data sets are used frequently so you can practise using tests before applying them to your own data sets, whilst the logical layout guides you toward the correct test for both your data, and what you want to prove (or disprove)." (Animals & Men, February 2011) Read more...

*User-contributed reviews*