Credits: 5. Grading scale: TH. Compulsory for: I2. Course coordinator: Univ lektor Anna Lindgren, anna@maths.lth.se, Matematisk statistik. Recommended prerequisites: Mathematics, Basic Course (FMA012). Assessment: Written examination. To qualify for a final grade, students must have completed the laboratory work and the assignments. Homepage: http://www.maths.lth.se/matstat/kurser/fms120.

Aim
Basic knowledge of construction and analysis of simple stochastic models.

Contents
Data analysis. Probability axioms. Conditional probability, independent events. Random variables and distributions. Conditional distributions. Expectation, variance, covariance. Point and interval estimation. Test of hypotheses. Methods based on normal distibution. Chi-squared test. Linear univariate and multivariate regression.

Literature
Blom,G.: Sannolikhetsteori med tillämpningar, Lund 1984. Blom, G. & Holmquist, B.: Statistikteori med tillämpningar, Lund 1998.