A Type II error occurs in hypothesis testing when we _____________________________.
fail to reject the null hypothesis and the null hypothesis is not true |
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reject the null hypothesis and the null hypothesis is true |
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fail to reject the alternative hypothesis and the alternative hypothesis is not true |
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reject the alternative hypothesis and the alternative hypothesis is true |
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis...
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
Question 19 (5 points) A Type I error occurs in hypothesis testing when we Question 19 options: a) reject the alternative hypothesis and the alternative hypothesis is true. b) fail to reject the null hypothesis and the null hypothesis is false. c) fail to reject the alternative hypothesis and the alternative hypothesis is false. d) reject the null hypothesis and the null hypothesis is true. Question 20 (5 points) A golfer claims that his average golf score at the course...
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 I error is where we reject a true null hypothesis (Ho). a. True b. False A type II error is where we fail to reject a false null hypothesis (Ho). a. True b. False A claim may go in either in the Ho (null hypothesis) or Ha (H1, alternate hypothesis) depending on the key words in the statistical word problem. a. True b. False
TRUE OR FALSE 1. A type 2 error occurs when we reject a true null hypothesis 2. All Chi- Square tests are right tailed tests. 3. It is valid to use the correlation coefficient to describe the relationship between major and working-status of a group of college students 4. If we decrease the Type 1 error rate, the Type 2 error rate will increase (given the same sample) 5. As the value of correlation coefficent (r) gets closer to -1,...
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...
A Type II error occurs when when a false null hypothesis is rejected. true or false?
Which of the following statements about hypothesis testing are true? - A type 1 error occurs if is rejected when it is true - A type 2 error occurs if is rejected when it is true - The power of a test is probability of failing to reject when it is false We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
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
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