Learning outcomes:
After the course, students can apply both nonparametric statistical methods and basic parametric tests. Students can select and use an appropriate statistical methods for data analysing.

General description

This course is meant for students, who have pre-knowledge on the basics of statistics (eg. course Introduction to Statistics).

Course topics include: Understanding notations of statistics, different measurement scales, basic knowledge of statistics.
Nonparametric statistical methods, basic parametric statistical methods, and regression and correlations between parameters.
Presenting your data and results of statistical tests.

Course completion and assessment:
Completing the course requires active participation in lectures and approved project work. Lecture and project work materials will be delivered via Moodle.

Timetable

Mon 4.3. lecture 9-11 in Linna K108

Mon 11.3. lecture 9-11 in Pinni A3111

Mon 18.3. lecture 9-11 in Pinni A3111

Mon 25.3. lecture 9-11 in Pinni A3111 + computer classroom 11-12 (Pinni B1084)

Mon 1.4. lecture 9-11 in Pinni A3111 + computer classroom 11-12 (Pinni B1084)

Mon 8.4. lecture 9-11 in Pinni A3111 + computer classroom 11-12 (Pinni B1084)

Mon 15.4. lecture 9-11 in Pinni A3111 + computer classroom 11-12 (Pinni B1084)

Assessment scale: Pass - Fail

Enrollment: In Nettiopsu. The amount of participants will be limited according to available computer classroom places.

Litareture and readings:
- Lecture notes.
- Vimala Veeraraghavan, Suhas Shetgovekar: Textbook of Parametric and Nonparametric Statistics. SAGE Publications Ltd.
- Martin Bland: An Introduction to Medical Statistics. Oxford Medical Publications. 3rd edition.