a)
when a null hypothesis is rejected there is a risk of committing
type I error
b)
when a null hypothesis is not rejected there is a risk of
committing type II error
(a) When a null hypothesis is rejected, there is risk of committing which type of error?...
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 occurs when when a false null hypothesis is rejected. true or false?
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.
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
| A type I error occurs when: a true hypothesis is rejected a true hypothesis is not rejected a false hypothesis is rejected a false hypothesis is not rejected
If the null hypothesis is rejected when it is false, this is called O an alternative hypothesis O a type I error O the correct decision O a type II error
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...
Which of the following statements is true about the P-value? A. It is the probability of committing type I error and it is the smallest significant level at which a null hypothesis would be rejected B. It is the probability of committing type I error and it is the largest significant level at which a null hypothesis would be rejected C. It is the probability of committing type II error and it is the smallest significant level at which a...