True or False (Test of Hypotheses)
__________1. A type I error is made when the null hypothesis is rejected when it is true.
__________ 2. If the test procedure results to be statistically significant at a five-percent level, the null
hypothesis is most likely true.
__________ 3. The reason for rejecting a null hypothesis is because a significant result normally occurs
when the null hypothesis is false based on the test procedure.
__________ 4. A Type II error is made when the computed value of the test statistic falls in the critical
region given that the hypothesis being tested is false.
__________ 5. In hypothesis testing, the critical value is the point where the decision changes from
reject the hypothesis to fail to reject the hypothesis.
__________ 6. A null hypothesis is rejected at a five-percent level of significance will also be rejected at
a one-percent level of significance.
__________ 7. Testing a null hypothesis at a one-percent level of significance implies a one-percent
chance of rejecting the null hypothesis.
__________ 8. The risk of a Type II error does not depend on the risk of a Type I error.
__________ 9. If the test procedure is statistically significant at a one-percent level, the null hypothesis
is most likely true.
__________ 10. A Type II error is made when the null hypothesis is rejected when it is true.
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True or False (Test of Hypotheses)
__________1. A type I error is made when the null hypothesis is rejected when it is t...
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