| Date | Topics |
| 21.02. |
Basic concepts in Statistics I Slides and R Slides Descriptive & inferential statistics, population & sample, sampling methods Statistics in emprirical linguistics: experiments, corpora Introduction to R |
| 22.02. |
Basic concepts in Statistics II Slides Hypothesis testing, variables, significance testing Scales of measurements Data with R |
| 23.02. at 12:15 |
Descriptive Statistics I Slides and Additional material Frequency distributions Measures of central tendency Computing descriptive statistics in R |
| 24.02. |
Descriptive Statistics II Slides Variability, data visualisation techniques Reporting descriptive statistics Variability and data visualisation in R |
| 25.02. |
Inferential Statistics I Slides Inferential statistics in experimental linguistics and in corpus linguistics Basics of probability and rules Parametric and non-parametric introduced |
| 28.02. |
Inferential Statistics II Slides Decision trees Tests for mean/median, correlation Basic inferential statistics in R |
| 01.03. |
Inferential Statistics III Slides Regression models introduced Linear regression Linear regression in R |
| 02.03. |
Inferential Statistics IV Slides Maximum Likelihood Estimation Logistic regression Logistic regression in R |
| 03.03. |
Model comparison & Advanced Models Slides Mixed Models Mixed models approaches; why, further reading Mixed models in R |
| 04.03. |
Last minute training + EXAM
Walking through the topics of the course Exam at 14:15 |
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overview calendar readings |
Statistics