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i. To prevent bias, the level of significance is selected before setting up the decision rule and sampling the population. ii. The level of significance is the probability that a true hypothesis is rejected.
iii. If the critical values of the test statistic z are 1.96, they are the dividing points between the areas of rejection and non-rejection.
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