Basic Course in Statistics

Undergraduate course

Course description

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.

Learning Outcomes

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.

Semester of Instruction

Autumn
Recommended Previous Knowledge
MAT101 or MAT111 (can be taken together with STAT110).
Compulsory Assignments and Attendance
Forms of Assessment
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.