University of Technology Sydney

37012 Understanding Data: Making Population Statements with Samples

2cp; 2hpw (lecture, online), 1.5hpw (PC labs, online)
Anti-requisite(s): 60117 Understanding Data and Statistical Design


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.

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