After successful completion of this course, students will be able to
-Choose a design and decide on the sample size for an experiment, given some typical research question,
-Choose a statistical model and carry out an appropriate analysis,
-Draw appropriate conclusions, given the research question, the choice of experiment and the data collected

General description

Knowledge about statistical methods and data analysis is of great importance in almost any field of research. In this course, general concepts of statistics will be provided so that students can be able to independently carry out a small scale empirical research with the statistical software SPSS or R. After the course, students should be familiar with the basic concepts of statistics, ranging from descriptive statistics, basic inference (estimation, confidence intervals and hypothesis testing), linear models (analysis of variance, simple and multiple linear regression), non-parametric tests and logistic regression.

Space is limited in this course due to computer room capacity. Priority will be granted for the first enrolments, based on the proportions: 60% PhD students and 40% for BSc and MSc students.

The evaluation will be based on weekly practical exercises, assignments plus a final project (ideally analyzing own data but dataset can be provided if needed).

Please note that this course cannot be included inside the minimum 120 ECTS of Master's Degree Programme in CBDA (basic level course).

MTTTP1 Tilastotieteen johdantokurssi lectured in period I, II or III-IV is recommended for Finnish students.