Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
17.6.2019 at 09:00 - 15.8.2019 at 15:00

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Wed 4.9.2019
10:00 - 17:00
Fri 6.9.2019
10:00 - 17:00

Description

Participants should have previously taken a course on basic statistics or otherwise be familiar with the above methods as the aim of this course is to revise your skills, not to start from the beginning.

Previous experience of R is not required but, if not already familiar with R, participants should have an open mind and be ready to run the course exercises in R as instructed keeping in mind that the main purpose of this course is to refresh one's memory on the basics of statistics. The use of R will be taught on YEB doctoral school's YEB-115 Data, graphics and programming in R course.

This course is not compulsory but highly recommended to those who are unsure of their statistics skills and are planning to take YEB doctoral school's YEB-115 Data, graphics, and programming in R, and YEB-116 Data exploration, regression, GLM and GAM.

This brief course will refresh course participants' knowledge on the basics of statistics and the philosophy of science. Topics covered are:

  1. Mean
  2. Variance
  3. Distributions
  4. Hypothesis testing
  5. T-test and its non-parametric companions
  6. ANOVA and its non-parametric companions
  7. Correlations

The course unit can be completed at any time during doctoral studies.

The course unit is offered each autumn term in the second period.

  • Mean
  • Variance
  • Distributions
  • Hypothesis testing
  • T-test and its non-parametric companions
  • ANOVA and its non-parametric companions
  • Correlations

The structure of the two-day course is built on introductory lectures to each topic, coupled with computer exercises run in R. During the course we may also briefly cover topics suggested by the students and not listed above. The course will keep it simple.

Grading: pass/fail
80% attendance required

Course teacher