Descriptive statistics. Basic probability, conditional probability, discrete and continuous variables, expectation and variance. Covariance, correlation, and independence. Estimation, confidence intervals, and hypothesis testing. Z-tests and T-tests. Simple linear regression. One-way analysis of variance. Chi square tests. Application of simple statistical software (Minitab and/or R).

The students will learn the basic concepts in statistics. They will get familiar with the assumptions and the applications of the most commonly used statistical methods applied in science and everyday life. The students will be able to apply such methods on simple problems in their own studies. Through the exercises (both compulsory and optional) on real data, the students must prove that they have acquired the basic knowledge.

The lecturer will discuss central conceptions of statistics, illustrated by many applied examples. The students will be organised in groups where they are working with different practical exercises. Compulsory exercises that must be solved and approved before the exam.

The teacher is always available (by direct contact, by phone, or by e-mail solve.sabo@nmbu.no). Web pages will always be updated. Assistant teachers are available during group sessions (or anytime).

Will be announced on the course website before the semester.

MATH100 or MATH111 (may be taken in the same semester).

There will be several compulsory assignments for the students to hand in and have approved before the exam. Students who are retaking the course due to failure, must hand in new assignments.

0.75 hours multiple choice test (mid semester) weight 20 %, 3.5 hours written examination, also containing multiple choice tests (weight 80 %).

Special requirements in Science

Lectures covering new material, 4 hours per week. Teaching in groups where the students do calculation exercises related to the lectures. The students may choose the number of exercise groups to attend per week.

The course is offered twice a year, both in the spring and autumn parallel. Students who are retaking the course due to failure must hand in new assignments.

An external examiner evaluates 25 randomly chosen examination papers as calibration of the evaluation if other excersises than multiple choice are given at the final exam.