One assumption in testing a hypothesis about a proportion is that an outcome of an experiment can be classified into two mutually exclusive categories,namely,a success or a failure.
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Q1: What is the level of significance?
A) Probability
Q8: Assuming that the null hypothesis is true,
Q19: A p-value is the same as a
Q30: If the alternate hypothesis states that µ
Q34: When the p-value is 0.001 or less,there
Q37: If we do not reject the null
Q38: The null hypothesis is rejected when a
Q40: For a one-tailed test of hypothesis,the area
Q41: If the critical values of the
Q44: To conduct a test of proportions,the assumptions
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