- Format
- Häftad (Paperback)
- Språk
- Engelska
- Antal sidor
- 280
- Utgivningsdatum
- 2018-03-28
- Upplaga
- 4
- Förlag
- Pearson
- Medarbetare
- Johnson, Magnus
- Dimensioner
- 247 x 190 x 15 mm
- Vikt
- Antal komponenter
- 1
- ISBN
- 9781292086033
- 554 g
Statistical And Data Handling Skills in Biology
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Innehållsförteckning
Preface
Publishers acknowledgements
1 An introduction to statistics
1.1 Becoming a biologist
1.2 Awkward questions
1.3 Why biologists have to repeat everything
1.4 Why biologists have to bother with statistics
1.5 Why statistical logic is so strange
1.6 Why there are so many statistical tests
1.7 Using the decision chart
1.8 Using this text
2 Dealing with variability
2.1 Introduction
2.2 Examining the distribution of data
2.3 The normal distribution
2.4 Describing the normal distribution
2.5 The variability of samples
2.6 Confidence limits
2.7 Presenting descriptive statistics and confidence limits
2.8 Introducing computer programs
2.9 Calculating descriptive statistics
2.10 Self-assessment problems
3 Testing for normality and transforming data
3.1 The importance of normality testing
3.2 The ShapiroWilk test
3.3 What to do if your data has a significantly different distribution from the normal
3.4 Examining data in practice
3.5 Transforming data
3.6 The complete testing procedure
3.7 Self-assessment problems
4 Testing for differences from an expected value or between two groups
4.1 Introduction
4.2 Why we need statistical tests for differences
4.3 How we test for differences
4.4 One- and two-tailed tests
4.5 The types of t test and their non-parametric equivalents
4.6 The one-sample t test
4.7 The paired t test
4.8 The two-sample t test
4.9 Introduction to non-parametric tests for differences
4.10 The one-sample sign test
4.11 The Wilcoxon matched pairs test
4.12 The MannWhitney U test
4.13 Self-assessment problems
5 Testing for differences between more than two groups: ANOVA and its non-parametric equivalents
5.1 Introduction
5.2 One-way ANOVA
5.3 Deciding which groups are different post hoc tests
5.4 Presenting the results of one-way ANOVAs
5.5 Repeated measures ANOVA
5.6 The KruskalWallis test
5.7 The Friedman test
5.8 Two-way ANOVA
5.9 The ScheirerRayHare Test
5.10 Nested ANOVA
5.11 Self-assessment problems
6 Investigating relationships
6.1 Introduction
6.2 Examining data for relationships
6.3 Examining graphs
6.4 Linear relationships
6.5 Statistical tests for linear relationships
6.6 Correlation
6.7 Regression
6.8 Studying common non-linear relationships
6.9 Dealing with non-normally distributed data: rank correlation
6.10 Self-assessment problems
7 Dealing with categorical data
7.1 Introduction
7.2 The problem of variation
7.3 The x2 test for differences
7.4 The x2 test for association
7.5 Validity x2 of tests
7.6 Logistic regre...