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Abstract:
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1. The whys and wherefores of statistics -- 2. Descriptive statistics -- 3. Probability and probability distributions -- 4. Sampling and sampling distributions -- 5. Experimental design and clinical trials -- 6. An introduction to hypothesis testing -- 7. Hypothesis tests 1 - the t-test: comparing one or two means -- 8. Hypothesis tests 2 - the F-test: comparing two variances or more than two means -- 9. Hypothesis tests 3 - the Chi-squared test: comparing proportions -- 10. Linear correlation and regress
This book is an easy-to-use guide to statistics that will help animal scientists and veterinarians handle numerical data correctly. It assumes no prior knowledge of statistics and so enables the reader to build up an understanding of the principles and methods using real examples from companion, performance and agricultural animals. The text has been written with the non-mathematician in mind and the availability of computer statistics packages is recognised; the description of complex hand calculations i
Statistics for Veterinary and Animal Science will be invaluable to students of veterinary and animal sciences, veterinary practitioners and research scientists. It will also find a ready acceptance amongst those involved with pathology services or with developing new pharmaceutical agents, and for those involved in the maintenance and care of healthy animals in performance and production.
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