Statistical inference

Learning outcomes
 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
 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.

Teacher
 Pauliina Ilmonen, Jukka Kohonen

Study material
 Lectures slides and the textbook Sheldon M. Ross, Introduction to Probability and Statistics for Engineers and Scientists (5. p), Academic Press 2014.

Online learning environment for the course & Activating Aalto ID

MyCourses online learning environment is a tool for both students and teachers for communication and managing everyday course work. You need an Aalto User ID to log in to the course's MyCourses workspace and participate in teaching. You can activate your Aalto User ID the day after the registration and you should activate it no later than the day before the start of the course.Instructions for activating your Aalto User IDDigital workspace of the course:
MyCourses

More details on completing the course will be available at MyCourses closer to the start of the course.

Workload
 Lectures 24 h (2), Exercises 24 h (2), Homework assignments 40 h, reading and studying the lecture materials 40 h

Prerequisites
 MS-A05XX First course in probability and statistics, MS-A00XX Matrix algebra

Evaluation
lectures, exercises and course exam OR exam only
 

Teaching time and location

The teaching time and the location of the course can be found at Sisu information system

1. The link leads to Completion methods tab of the course page  
2. From the top of the page (Version drop-down menu), check that academic year 2023-2024 is selected  

3. From the blue bar, click Lecture and open the Groups and teaching times tabto see the teaching time and the location of the course. Exam times can be seen by clicking Exam.
    

   Exam instructions at the Open University

Registration and course fee

Registration for Open University courses is done in Sisu-service. 

Course registration

Registration for this course starts on 11.12.2023 at 9.00  
Registration for this course ends on 15.1.2024 at 23.59

The number of participants is limited to 5.

This course is organized by the Aalto University School of Science.

The course fee is paid upon registration for each course at a time and it is binding. Familiarize yourself with registration and payment rules as well as other guidelines for students:
Registration, payments and rulesAccess Token on Aalto University Campus

To be able to enter campus premises and classrooms you need the student access token of Aalto University. You can get the student access token from campus lobby services. The access token need to be activated with your Aalto account and password before you can use it. Please, arrive the campus well in advance before your first class so that you can make the access token work. Please, see the instructions how to get and activate the access token:How to get an access tokenOtaniemi Campus, Espoo:Campus mapFurther information
Equivalences: Mat-2.2104 Introduction to Statistical Inference, MS-C2104 Introduction to statistical inference

Individual study arrangements

If you need individual study arrangements in order to attend a course, contact the Open University office ([email protected]) in good time, at least 14 days before the start date of the course or the examination date. Further information about individual study arrangements:
Individual study arrangements at Open University