Schedule: 07.01.2019 - 10.04.2019
Teaching Period (valid 01.08.2018-31.07.2020):
III-IV Spring (2018-2019, 2019-2020)
Learning Outcomes (valid 01.08.2018-31.07.2020):
After passing the course the students can conduct simple statistical analyses. They know how to calculate summary statistics and how to properly visualize data. Students are able to select suitable summary statistics and parameter estimates for different types of data sets and construct bootstrap confidence intervals for the estimated parameters. Students are able to select suitable statistical tests for different testing settings. They know how to apply different t-tests, chi-square tests and nonparametric tests and understand the general statistical assumptions that are required for applying these tests. Students are able to detect different types of dependencies between variables and they are familiar with univariate and multivariate linear regression analysis. They can conduct linear regression analysis in practice and they understand the underlying model assumptions.
Content (valid 01.08.2018-31.07.2020):
The course is an introduction to statistical analysis and statistical inference. Course topics include estimation, simple parametric and nonparametric tests, statistical dependence and correlation, linear regression analysis and analysis of variance. Software R is used in this course.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Homework assignments, exercise points, exam
Workload (valid 01.08.2018-31.07.2020):
Lectures 24 h (2), Exercises 24 h (2), Homework assignments 40 h, reading and studying the lecture materials 40 h
Study Material (valid 01.08.2018-31.07.2020):
Lectures slides and the textbook Sheldon M. Ross, Introduction to Probability and Statistics for Engineers and Scientists (5. p), Academic Press 2014.
Substitutes for Courses (valid 01.08.2018-31.07.2020):
Mat-2.2104 Introduction to Statistical Inference, MS-C2104 Introduction to statistical inference
Course Homepage (valid 01.08.2018-31.07.2020):
Prerequisites (valid 01.08.2018-31.07.2020):
MS-A05XX First course in probability and statistics, MS-A00XX Matrix algebra
Grading Scale (valid 01.08.2018-31.07.2020):
- Teacher: Mikko Kaivola
- Teacher: Paavo Raittinen