After the course, the student should be familiar with the basic concepts of statistics, ranging from descriptive statistics to basic inference (confidence intervals and hypothesis testing) and linear models (linear a logistic regression).
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 the students can be able to independently carry out a small scale empirical research with the statistical software R.
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A maximum number of 50 students will be allowed in this course (70% doctoral students and 30% masters students).
The evaluation will be based on 4-5 weekly assignments plus a final assignment (ideally analyzing own data).
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.