Part of
How to do Linguistics with R: Data exploration and statistical analysisNatalia Levshina
[Not in series 195] 2015
► pp. 87–114
Natalia Levshina
[Not in series 195] 2015
► pp. 87–114
Chapter 5Comparing two groups
t-test and Wilcoxon and Mann-Whitney tests for independent and dependent samples
Article outline
- 5.1Comparing group means or medians: An overview of the tests
- 5.2Comparing the number of associations triggered by high- and low-frequency nouns with the help of the independent t-test
- 5.2.1 Data and hypothesis
- 5.2.2 Descriptive statistics and visualizations
- 5.2.3 Choosing an appropriate test to compare the measures of central tendency in two groups
- 5.2.4 Confidence intervals and standard errors
- 5.3Comparing concreteness scores of high- and low-frequency nouns with the help of a two-tailed Wilcoxon test
- 5.3.1 Data and hypotheses
- 5.3.2 Descriptive statistics and visualizations: Strip charts and rug plots
- 5.3.3 Inferential statistics: The two-tailed Wilcoxon test
- 5.4Comparing associations produced by native and non-native speakers: The dependent one-tailed t-test
- 5.4.1 Creating simulation data
- 5.4.2 Performing the dependent t-test
- 5.5Summary
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Notes
