|
H0 true |
H0 false |
|
|
Reject H0 |
||
|
Fail to Reject H0 |
| H0 true | H0 false | |
| Reject H0 | Type I error | Correct |
| Fail to reject H0 | Correct | Type II error |
Fill in the following table with the words CORRECT, TYPE I ERROR, and TYPE II ERROR....
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 67 versus H1: μ ≠ 67. The true value of μ is 68 and H0 is not rejected a)Type II error b)Type I error c)Correct decision
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 40 versus H1: μ ≠ 40. The true value of μ is 40 and H0 is rejected. Group of answer choices Correct decision Type II error Type I error
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
Would the following conclusions be a Type I Error, a Type II Error, or a correct decision? Conclude the mean is different than 10 when it actually equals 10. Conclude the mean is different than 10 when it actually is different than 10. Fail to conclude the mean is different than 10 when it actually equals 10. Fail to conclude the mean is different than 10 when it actually is different than 10.
Can someone answer and explain how to do these problems? 1 Type II Error: For the roulette table in (Q6), determine which hypothesis testing scenario has the larger Type II error probability for a two-sided hypothesis for HO: p=18/19: 1. a) N=10,000, p=0.96 , α=0.05 OR b) N=10,000, p=0.97 , α=0.05. 2. a) N=10,000, p=0.96, α=0.05 OR b) N=50,000, p=0.96, α=0.05. 3. a) N=10,000, p=0.97, α=0.05 OR b) N=10,000, p=0.97, α=0.01. Describe how the Type II error is influenced by...
Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of settled medical malpractice suits is 0.24. Which is a type I error? A. Reject the claim that the proportion of settled malpractice suits is 0.24 when the proportion is actually different from 0.24. B. Reject the claim that the proportion of settled malpractice suits is 0.24 when the proportion is actually 0.24. C. Fail to reject the claim that the proportion...
Type II error occurs when an individual fails to reject H0 when H0 is false. True False
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...
dentify the type I error and the type II error that correspond to the given hypothesis. The percentage of college students who owncollege students who own carscars is greatergreater thanthan 35 %35%. Identify the type I error. Choose the correct answer below. A. Reject the null hypothesis that the percentage of college students who owncollege students who own carscars is greatergreater thanthan 35 %35% when that percentage is actually greatergreater thanthan 35 %35%. B. Reject the null hypothesis that the...
True or False? The probability of a Type I error (a) and Type (II) error (B) are complementary and total to 1. a. True b. False