M25B - Introduction to Statistics

This course uses the following course codes:

Number of credits: 4

This course has the following prerequisites:

This course has no corequisites.

The assessment for the course is as follows:

This course has coursework assessment.

In course assignments weight: 40%

Final exam: 60%

Theory of Estimation
Ideas of point estimation mean-squared error interval estimation method of maximum likelihood Cramer-Rao Inequality

Hypothesis Testing
Type I and Type II errors tests concerning means variances and proportions Goodness of fit Tests non-parametric tests

Experimental Design and the Analysis of Variance (Completely Randomized Design, Block Designs, Latin Squares, Factional Designs)