Bookstore

Asking and answering questions is the cornerstone of science, yet formal training in understanding this key process is often overlooked. Asking Questions in Biology unpacks this crucial process of enquiry, from a biological perspective, at its various stages.   The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Asking Questions in Biology

• Contents


• Preface


• 1 Doing science: Where do questions come from?


• 1.1 Science as asking questions


• 1.2 Basic considerations


• 1.3 The skill of asking questions


• 1.4 Where do questions come from?


• 1.5 What this book is about


• References


• 2 Asking questions: The art of framing hypotheses and predictions


• 2.1 Observation


• 2.2 Exploratory analysis


• 2.3 Forming hypotheses


• 2.4 Summary


• References


• 3 Answering questions: What do the results say?


• 3.1 Confirmatory analysis


• 3.2 What is statistical significance?


• 3.3 Significance tests


• 3.4 Testing hypotheses


• 3.5 Testing predictions


• 3.6 Refining hypotheses and predictions


• 3.7 Summary


• References


• 4 Presenting information: How to communicate outcomes and conclusions


• 4.1 Presenting figures and tables


• 4.2 Presenting results in the text


• 4.3 Writing reports


• 4.4 Writing for a more general readership


• 4.5 Presenting in person: spoken papers and poster presentations


• 4.6 Plagiarism


• 4.7 Summary


• Reference


• Test finder and help guide


• Some self-test questions


• Appendix I: Table of confidence limits to the median


• Appendix II: How to calculate some simple significance tests


• Appendix III: Significance tables


• Appendix IV: The common codes for the important graphical parameters of R?


• Answers to self-test questions


• Index