This course covers essential statistical concepts and techniques, including basic concepts, summary statistics, probability, distributions, statistical inference, hypothesis testing, correlation, regression, and analyzing categorical data. The course aims to teach students how to analyze data, interpret results, and make informed decisions based on statistical findings. The teaching method includes lectures, practical examples, and hands-on exercises. This course is suitable for individuals looking to develop their statistical analysis skills, such as students, researchers, and professionals in various fields.
Overview
Syllabus
01 Introduction.
02 Basic Concepts.
03 Summary Statistics.
04 Probability and Distributions.
05 The normal distribution.
06 Statistical Inference.
07 Confidence Intervals.
08 Two sample t test.
09 Wilcoxon.
10 Tests for paired samples.
12 ANOVA.
13 Post hoc testing.
14 Correlation coefficient.
15 Linear Regression.
16 Analyzing dichtotomous data I.
17 Analyzing dichtotomous data II.
Taught by
Tübingen Machine Learning
