Statistics II

Content and Form of Instruction The course covers the following subject areas: <br> Basic Statistical Inference This module covers the way in which conclusions about a population can be drawn based on a random sample, as well as the way in which properties of two different populations can be compared on the basis of two random samples. <br> Variance Analysis This module covers generalisations of hypothesis testing for situations where there are more than two random samples. <br> Regression Analysis This module covers methods for assessing and estimating connections between different variables. The emphasis is placed in linear models with one or more explanatory variables, but the module also includes a number of non-linear models. <br> Non-Parametric Models This module covers a number of non-parametric methods, which can sometimes be used when the conditions required for applying traditional methods are not present. <br> Time-Serial Analysis This module provides an introduction to prognosis methodology and different methods for organising a time series in components such as trend, tendency, season, and chance.