Introductory Statistics for Biology Students

Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the UK Copyright Designs and Patents Act, 1988, this publication may not be reproduced, stored, or transmitted, in any form or by any means, without the prior permission in writing of the publishers, or in the case of reprographic reproduction only in accordance with the terms of the licences issued by the Copyright Licensing Agency in the UK, or in accordance with the terms of licences issued by the appropriate Reproduction Rights Organization outside the UK. Enquiries concerning reproduction outside the terms stated here should be sent to the publishers at the London address printed on this page. The publisher makes no representation, express or implied, with regard to the accuracy of the information containd in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Content: Front Matter....Pages i-xii How long is a worm?....Pages 1-14 Confidence intervals and computers....Pages 15-24 Sampling....Pages 25-36 Planning an experiment....Pages 37-46 Accounting for background variation and constructing a model....Pages 47-56 Analysing your results - Is there anything there?....Pages 57-73 Consider the treatments of the field....Pages 74-93 Relating one thing to another....Pages 94-122 What to do when data are skewed or are ranks or scores or are counts in categories....Pages 123-137 Summarizing data from an observational study....Pages 138-152 Your project....Pages 153-166 Preparing a report. What’s it all for?....Pages 167-176 Back Matter....Pages 177-185 Introductory Statistics for Biology Students tackles fundamental ideas and experimental design using the minimum of mathematics and should prove useful for life science students. Examples are taken from a variety of disciplines, including zoology, plant science and agriculture, pharmacology and medicine. communicate the concepts of sampling and experimentation in a rigorous yet sympathetic style. uses numerous annotated illustrations from Minitab printouts to underline principles of data interpretation and analysis. (pharmacy, psychology, agriculture, medicine, veterinary science and dentistry). Postgraduates requiring a refresher in statistics should find it useful. Tackles fundamental ideas in statistics and experimental design using the minimum of mathematics and should prove useful for life science students. The book takes examples from a variety of disciplines, including zoology, plant science and agriculture, pharmacology and medicine.