Learning outcome
After completing the learning process described in this course description, you will:

Aquried Knowledge
Based on a through understanding of concepts and notions in probability and statistics, the students will understand that statistical techniques and methods are based on assumptions and requirements.

Aquired Skills

• be able to handle and analyze quantitative uncertainty and probability
• be able to model using discrete and continuous stochastic variables, and be capable in handling, analyzing and presenting data related to these with and without using computerized tools
• be able to handle the sample of a population and be capable in methods for statistical inference
• be able to select correct model and test in different situations and be able to conclude from these
• be able to compute with probabilities
• be able to estimate a simple regression model

1. Descriptive statistics
2. Stochastic experiments and stochastic variables
3. Computation with probabilities, elementary set theory
4. Discrete probability distributions
5. Continuous probability distributions
6. Inference for parameters in discrete probability distributions
7. Inference for parameters in continuous probability distributions
8. Estimation
9. Hypothesis testing
10. Simple linear regression
11. Inference in simple linear regression model
12. Selection of model and methods