A Type II error is committed when a. a true alternative hypothesis is mistakenly rejected. O...
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 II error occurs when when a false null hypothesis is rejected. true or false?
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 it is false, this is called O an alternative hypothesis O a type I error O the correct decision O a type II 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.
| 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
Question 34 pts Tony Stark committed a Type 1 error. What did Tony do? Accepted Research Hypothesis when Null is true Correctly rejected the null when there really are differences (i.e. Research Hypothesis supported by data) Rejected the Research hypothesis when it was true in population. Correctly accepted Null (and rejected Research Hypothesis)
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
α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...
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...