On completion of the course, the student should

- display knowledge of the most common methods that is used to numerically and graphically describe a data set

- demonstrate ability to perform basic probability calculations involving random variables
- demonstrate ability to compute estimates of relevant statistical parameters from a random sample
- demonstrate ability to perform different types of hypothesis tests and compute the power of such a test in the case of normal distribution assumption

- display understanding of the concept of random variability and judge the benefits and risks of using different statistical models

The course includes the following topics:
- Basic probability theory
- Random variables
- Discrete and continuous distributions, especially the normal distribution
- Central limit theorem with applications
- Descriptive statistics
- Point estimates and interval estimates
- Hypothesis testing

Course unit 1, 0,0 credits

Lectures and seminars.

The teaching is conducted in English.

General entry requirements and completed course Single Variable Calculus, 9 credits or Basic Calculus, 6 credits (or the equivalent).

The course is graded 5,4,3 or Fail.

Name of the Test	Value	Grading
Examination	6 credits	5/4/3/U

The literature is preliminary until one month before the course starts.

Probability, Statistics and stochastic Processes
Författare: Peter Olofsson, Mikael Andersson
ISBN: 9780470889749