A Type I error is: Select one: incorrectly specifying the null hypothesis. accepting the null hypothesis when it is false. rejecting the null hypothesis when it is true. incorrectly specifying the alternative hypothesis.
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A Type I error is:
incorrectly specifying the null hypothesis.
accepting the null hypothesis when it is false.
rejecting the null hypothesis when it is true.
incorrectly specifying the alternative hypothesis.
Step by step
Solved in 2 steps
- If we fail to reject the null hypothesis when the alternative hypothesis is true, we have made a type Il error. type a error. correct decision. type B error. type I error.What is a type I and a type II error? Select one: A. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. B. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. C. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually falseType-II error is? A. Rejecting the null hypothesis when it is actually true B. Not rejecting the null hypothesis when its actually false C. Accepting the null hypothesis when its actually false D. Rejecting the alternative hypothesis it is actually false
- If we fail to reject the null hypothesis when the alternative hypothesis is true, we have made a O type a error. O type B error. O type I error. O type II error. O correct decision.if we do not reject the null hypothesis when the null hypothesis is in error, then we have made a a.Type β error b.Correct decision c.Type I error d.Type II errorA type II error A. arises when the false null hypothesis is not rejected.B. arises when the true null hypothesis is not rejected.C. is the rejection of a true null hypothesis.D. is the rejection of a false null hypothesis.
- Rejecting a false Null hypothesis is a. Type 1 error b. Type 2 error c. Alternate error d. Null errorA type I error A. arises when the false null hypothesis is not rejected. B. is the rejection of a false null hypothesis. C. arises when the true null hypothesis is not rejected. D. is the rejection of a true null hypothesis.What type of error(s) occur(s) when we reject the null hypothesis when the null hypothesis is true? OA. Type 1 Error OB. Type II Error OC. Both Type I and Type II Errors OD. Neither Type I nor Type II Error
- Type I error is when you end up rejecting the null hypothesis as a result of the statistical testing, when in fact the null hypothesis is actually ____."Decide whether to reject or fail to reject the null hypothesis.What is a type I error? What is a type II error? Choose the correct answer below. C.. O A. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type Il error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. O B. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. OC. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. O D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true.