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10 questions
If the rejection region lies entirely on the left tail of the sampling distribution, then the test is a two-tailed test.
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The probability of committing Type I error is called the level of significance.
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In a test of hypothesis, a test statistic is computed from the sample data.
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If we rejected the null hypothesis at α = 0.01 , then we would also have rejected it at α = 0.05 .
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A type I error is committed when we fail to reject the null hypothesis when it is actually true.
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The level of significance is set during testing the hypothesis.
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If the computed value falls outside the rejection region, then the null hypothesis is rejected.
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If the symbol less than ( < ) appears in the alternative hypothesis, then the test is right-tailed.
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A type II error is committed if the null hypothesis is rejected when it is false.
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In a two-tailed test, the rejection region is split and placed in both tails of the sampling distribution.
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