A Type II error is committed when
Question 1 options:
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a true alternative hypothesis is mistakenly rejected |
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a true null hypothesis is mistakenly rejected |
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the sample size has been too small |
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not enough information has been available |
Answer:
a true alternative hypothesis is mistakenly rejected
Explanation:
A type II error is committed when we do not reject the null hypothesis when it is not true.
This means, a Type II error is committed when a true alternative hypothesis is mistakenly rejected.
A Type II error is committed when Question 1 options: a true alternative hypothesis is mistakenly...
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
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
A Type II error occurs when when a false null hypothesis is rejected. true or false?
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)
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.
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...
1. True or False? In hypothesis testing analysis, a type II error occurs if the null hypothesis H0 is accepted when it is true. 2. True or False? When population is not normal, sampling distribution of ¯x , for a large sample size is normally distributed, irrespective of the shape of the population.
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis and the null hypothesis is not true reject the null hypothesis and the null hypothesis is true fail to reject the alternative hypothesis and the alternative hypothesis is not true reject the alternative hypothesis and the alternative hypothesis is true
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...