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probability of A and B = probability of A times probability of B given A (or vice versa)
probability of A or B = probability of A + probability of B - probability of A and B
Theorem 3.6.1 p 220
If you add two independent random variables, the sum is a random variable distributed as the sum of the means, the sum of the standard deviations
Fisher distribution; Ronald Fisher; for two independent random variables each with Chi-square distribution p225
beta distribution a=b=1
The uniform distribution is a special case of the beta distribution where a=b=1.
non-parametric or distribution-free inference statistical inference where results obtained are general and are applicable to any arbitrary distribution; e.g. % of defective units in a manufacturing process, % of errors made in data entry, and % of fans satisfied with the performance of the team they support
Chi-square distribution is a special case of the
Gamma distribution where a= n/2 and l=1/2; n is number of degrees of freedom.
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