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Statistics Explained: An Introductory Guide for Life Scientists
"Statistics explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical test...
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| Format: | Printed Book |
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New York
Cambridge University Press
2006
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Table of Contents:
- 'Doing science'--hypotheses, experiments, and disproof
- Collecting and displaying data
- Introductory concepts of experimental design
- Probability helps you make a decision about your results
- Working from samples--data, populations, and statistics
- Normal distributions--tests for comparing the means of one and two samples
- Type 1 and type 2 errors, power, and sample size
- Single factor analysis of variance
- Multiple comparisons after ANOVA
- Two factor analysis of variance
- Important assumptions of analysis of variance: transformations and a test for equality of variances
- Two factor analysis of variance without replication, and nested analysis of variance
- Relationships between variables: linear correlation and linear regression
- Simple linear regression
- Non-parametric statistics
- Non-parametric tests for nominal scale data
- Non-parametric tests for ratio, interval, or ordinal scale data
- Choosing a test
- Doing science responsibly and ethically.