37012 Understanding Data: Making Population Statements with Samples

Description

The motivation behind the collection of a data sample is to make judgements about the population from which it was obtained, a process called “statistical inference”. This subject introduces some statistical tools used for this process and lays the foundations for further study in data modelling. The statistical tools include t-tests, analysis of variance (ANOVA) and associated F-tests, which are parametric tools used to test hypotheses involving population means. Such tools rely on certain assumptions being satisfied and checking these assumptions is a major focus of the subject. Also introduced are the Wilcoxon signed-rank test and the Kruskal-Wallis test, non-parametric tools used to test hypotheses involving population medians.