Candidates should be able to:
- fit a theoretical distribution, as prescribed by a given hypothesis, to given data (questions will not involve lengthy calculations);
- use a \(\mathcal{X}^2\)-test, with the appropriate number of degrees of freedom, to carry out the corresponding goodness of fit analysis (classes should be combined so that each expected frequency is at least 5);
- use a \(\mathcal{X}^2\)-test, with the appropriate number of degrees of freedom, for independence in a contingency table (Yates’ correction is not required, but classes should be combined so that the expected frequency in each cell is at least 5).
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