Published by Pearson (January 9, 2018) © 2018
Roland Ennos | Magnus JohnsonStatistical and Data Handling Skills in Biology gives you everything you need to master the key skills of statistical analysis. Written in a straight-forward and easy to understand style it presents all of the tests you will need throughout your studies, and shows you how to select the right tests to get the most out of your experiments. All of this is done in the context of biological examples so you can see just how relevant a skill this is, and how becoming fully proficient will make you a more rounded scientist.
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- 1 An introduction to statistics
- 2 Dealing with variability
- 3 Testing for normality and transforming data
- 3.7 Self-assessment problems 4 Testing for differences from an expected value or between two groups
- 5 Testing for differences between more than two groups: ANOVA and its non-parametric equivalents
- 6 Investigating relationships
- 7 Dealing with categorical data
- 8 Designing experiments
- 9 More complex statistical analysis
- 10 Presenting and writing about statistics
- Glossary
- Further reading
- Solutions
- Statistical tables
- Table S1: Critical values for the t statistic
- Table S2: Critical values for the correlation coefficient r
- Table S3: Critical values for the x2 statistic
- Table S4: Critical values for the Wilcoxon T distribution
- Table S5: Critical values for the Mann–Whitney U distribution
- Table S6: Critical values for the Friedman x2 distribution
- Table S7: Critical values for the Spearman rank correlation coefficient r