Solution:-
option : option D. a type II error
Explanation:if the null hypothesis is rejected when it is false,this is called a type II error.
The second type of error that can be made in significance testing is failing to reject a false null hypothesis. This kind of error is called a Type II error.
If the null hypothesis is rejected when it is false, this is called O an alternative...
In hypothesis testing, if the null hypothesis has NOT been rejected when the alternative hypothesis is true, a. a Type II error has been committed b. a Type I error has been committed c. the correct decision has been made d. either a Type I or Type II error has been committed
If the null hypothesis is rejected when the null hypothesis is true, what type of error, if any, has been made? Type I error Type II error Correct decision Type error
If the null hypothesis is rejected when the null hypothesis is true, what type of error, if any, has been made? O O O O Correct decision Type Il error Type I error Type error Click to select your answer.
When a false null hypothesis is not rejected, a.we commit a type i error b. we choose the wrong alpha c. we commit a type ii error d. we commit a type ii error e.we rely on the p value to see the probability of the null hypothesis being correct
A Type II error is committed when a. a true alternative hypothesis is mistakenly rejected. O b. the true null hypothesis is correctly rejected. C. a true null hypothesis is mistakenly rejected. d. the true alternative hypothesis is correctly rejected.
A Type II error occurs when when a false null hypothesis is rejected. true or false?
You are testing the null hypothesis µ=150 versus the two tailed alternative. You reject the null hypothesis in favor of the alternative hypothesis. If in reality, µ does equal 150, you have made a : A. Correct Decision B. Type II Error C. Type I Error
(a) When a null hypothesis is rejected, there is risk of committing which type of error? (b) When a null hypothesis is not rejected, there is risk of committing which type of error?
Type I error is: A. Deciding the null hypothesis is true when it is false B. Deciding the alternative hypothesis is true when it is true C. Deciding the null hypothesis is false when it is true D. Deciding the alternative hypothesis is true when it is false E. All of the above F. None of the above Type Il error is: A. Deciding the alternative hypothesis is true when it is true B. Deciding the alternative hypothesis is false...
11. If the null hypothesis is rejected at a 05 significance level, it (a) must also be rejected at a.10 significance level. (b) might also be rejected at a .10 significance level. (c) must not be rejected at a.10 significance level. (d) none of the above lfte null hypothesis İs not rejected at a .05 significance level, it: (a) will also not be rejected at a.01 significance level. (b) might be rejected at a .01 significance level. (e) will be...