Statistics

Date	Topics
13.02.	NOTE: 11:15am Basic concepts in Statistics I Descriptive & inferential statistics, population & sample, sampling methods Statistics in emprirical linguistics: experiments, corpora Introduction to R Slides
14.02.	Basic concepts in Statistics II Hypothesis testing, variables, significance testing Scales of measurements, design & data Data with R Slides
15.02.	Descriptive Statistics I Frequency distributions Measures of central tendency Computing descriptive statistics in R Reporting descriptive statistics Slides R_code
16.02.	Descriptive Statistics II & Inferential Statistics I Variability, data visualisation techniques Variability and data visualisation in R Basics of probability and rules Slides (both desciptive & inferential) R_code
17.02.	Inferential Statistics II Inferential statistics in experimental linguistics and in corpus linguistics Parametric and non-parametric introduced Tests for Mean/Median Slides ## Updated web links, Sunday 19.2. R_code
20.02.	Rosenmontag - HOLIDAY
21.02.	Inferential Statistics III Decision trees Regression models introduced Linear regression Linear regression in R Slides R_code
22.02.	Inferential Statistics IV Logistic regression Logistic regression in R Correlation in R Slides R_code
23.02.	Model comparison & Advanced Models Model comparisons Outlier removal techniques Mixed models approaches; why, further reading Mixed models in R Slides R_code
24.02.	EXAM