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Aim of this Module

To provide an introduction of how further statistical concepts can be used to test relevant quantities that describe populations. This is with a view to inferring whether the observed results are a matter of chance or something else.

Objectives of this Module

To introduce the logic and the terminology that are associated with hypothesis tests, including 'p-value', 'power' and 'statistical significance';

To illustrate how hypothesis tests are conducted in the simplest settings of one-sample tests of continuous data, and one-sample tests of categorical data;

To describe how hypothesis test considerations often underpin sample size calculations at the design stage of a study;

To list numerous specific reasons why p-values need to be treated with caution

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