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a is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of accepting a null hypothesis that is false. True False True or false. If the p-value is 4%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 5% but not at a significance level of 10%. True False
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