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The Given-When-Then formula is a template intended to guide the writing of acceptance tests for a User Story: (Given) some context (When) some action is carried out (Then) a particular set of observable consequences should obtain; An example: Given my bank account is in credit, and I made no withdrawals recently,
H0 should not have been rejected. The probability of a Type I error = alpha () Type II error: Probability of failing to reject a null hypothesis when it is false. We conclude that there is no difference when in reality there is one. H0 should have been rejected.