Type 1 error is the probability of rejection of a true null hypothesis.
The statement says it is the probability you fail to reject to the null hypothesis when is is false, which is completely opposit.
Thus the statement is false.
QUESTION 7 Problem 2) True False (2) Type I Error is the probability that you fail...
QUESTION 8 Problem 2) True False (3) Type II Error is the probability that you reject the null hypothesis when it was true. True False
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
QUESTION 21 A p value is the probability of obtaining the value of the test statistic or more extreme, if the null hypothesis is true. a. True b. False QUESTION 18 Type I error occurs when a. you reject a false null hypothesis b. you reject a true null hypothesis c. you fail to reject a false null hypothesis d. you fail to reject a true null hypothesis QUESTION 19 Type II error occurs when a. you reject a false...
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
please show your work...................... The probability of a Type I error is denoted by C. a d, 1-α b. 1-B a. b. c. d. A Type I error is committed if we make a correct decision when the null hypothesis is false a correct decision when the null hypothesis is true an incorrect decision when the null hypothesis is false. an incorrect decision when the null hypothesis is true 6. a. b. c. d. A Type Il error is committed...
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...
Determine whether the following statements are true or false. If the statement is false, then explain why the statement is false or rewrite the statement so that it is true. A Type I error in a hypothesis test occurs when we fail to reject the null hypothesis when the null hypothesis is actually false. A Type II error occurs when we reject the null hypothesis when the null hypothesis is actually true.
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
Question 10 0.07 pts Type I error is the probability level at which you are willing to be wrong when rejecting Ho (the Null Hypothesis). True False Question 11 0.07 pts An import threshold for mercury in crayfish is 9 parts per billion (ppb). A study obtained a random sample of 120 crayfish from a large lake. Of these, 24 have levels of mercury that exceeded 9 ppb. Past research had shown that 25% of the crayfish had levels that...
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...