Semester of Instruction
Objectives and Content
The main emphasis in this course is on probability models. Discrete and continuous distributions, among others the binomial, the hypergeometric, the exponential, the Poisson and the normal distributions are treated. Examples are given from many areas. The last part of the course deals with principles for estimating unknown quantities using least squares, method of moments, maximum likelihood, and with the construction of confidence intervals.
Students will get a basis for further studies in statistics, both for those who wish to specialize in statistics, and for those who need statistics in other disciplines.
Compulsory Assignments and Attendance
Forms of Assessment
Written examination, 5 hours.
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Type of assessment: Written exam
- 5 hours
- Withdrawal deadline