Verify the integrity of a random number generator by running a series of tests to detect and report any non-random patterns in the data generated.

Compare your results with an alternative hypothesis, using appropriate tests, to ascertain whether they are significantly different from one another.

Analysis of more than one statistical outcome variable at a time, e.g. factor analysis.

A powerful statistical technique which allows analysis of the relationship between two or more variables, to see how the typical value of a variable of interest (the dependent variable) changes under the influence of other (independent) variables. Regression analysis can be extended to be used for prediction and causal inference.

Design an efficient sampling scheme which provides the necessary level of precision.