Descriptive statistics. Basic probability, conditional probability, discrete and continuous variables, expectation and variance. Covariance, correlation, and independence. Estimation, confidence intervals, and hypothesis testing. Z-tests and T-tests. Simple linear regression. One-way analysis of variance. Chi square tests. Application of simple statistical software (R Commander).

The students will learn the basic concepts in statistics. They will get familiar with the assumptions and the applications of the most commonly used statistical methods applied in science and everyday life. The students will be able to apply such methods on simple problems in their own studies. Through the exercises (both compulsory and optional) on real data, the students must prove that they have acquired the basic knowledge.

This is a 100% online course. Students watch laecture videos online, and solve online exercises.

The course responsible will always be available, either by chat on the course pages or by email.

Will be announced on the course website before the course starts

There will be two online compulsory multiple choice exercises. These must be approved before the exam.

A final 3.5 hours written exam, A-F, potentially containing multiple choice tests. The final exam counts 100 %.

300 hours

GSK

Students are in control of this since the course is online