Statistics

Date	Topics
10.01.	Basic concepts in Statistics I Descriptive & inferential statistics, population & sample, sampling methods, variables, scales of measurements Statistics in emprirical linguistics: experiments, corpora Slides
11.01.	Basic concepts in Statistics II Hypothesis testing, significance testing, experimental designs Introduction to R, Data with R Slides Basic R codes
17.01.	Descriptive Statistics I Frequency distributions Measures of central tendency Computing descriptive statistics in R Reporting descriptive statistics Slides R codes
18.01.	Descriptive Statistics II & Inferential Statistics I Variability, data visualisation techniques Variability and data visualisation in R Basics of probability and rules Slides R codes
31.01. 1st session	Inferential Statistics II Parametric and non-parametric introduced Tests for Mean/Median Slides R codes
31.01. 2nd session	Inferential Statistics III Decision trees Regression models introduced Linear regression Linear regression in R Slides R codes
01.02. long session	Inferential Statistics IV (Linear regression continues) Multiple comparisons in R Correlation in R Basic methods for categorical data in R Slides R codes
07.02.	Inferential Statistics V Logistic regression Logistic regression in R Exam Preparations Slides R codes
Extra Materials	Model comparison, Outliers & Advanced Models Model comparisons Outlier removal techniques Multilevel approaches: why, further reading Advanced models in R Slides R codes
08.02.	EXAM: 12:15-13:45 (room 2.11)