Which of the following four represents the Type II error?
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Thinking there is some effect when there really is some effect . |
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Thinking there is some effect when there really is no effect. |
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Thinking there is no effect when there really is some effect. |
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Thinking there is no effect when there really is no effect. |

Which of the following four represents the Type II error? Thinking there is some effect when...
Question 15 1 pts A while a effect error refers to finding an effect when there really is no effect error refers to not finding an effect when there really is an Type I; Type 11 Type II; Type Type I; Type III Type III; Type II
Question 6 4 pts Which of the following represents the probability of Type II Error? O 1-B O 1-a O OB Question 7 4 pts
14. Which of the following statements is correct? a. The probability of Type II error is higher when a is .01 rather than .05. b. The probability of Type I error is higher when a is .01 rather than .05. c. The probability of Type I and Type II error is not dependent on the a level. d. When you test a null hypothesis at a = .05, there is a 1 out of 20 chance of committing a Type...
What is a Type I error and a Type II error? When is a Type I error committed? How might you avoid committing a Type I error?
Which of the following is/are true? Type I and Type II error probabilities are complements Type I and Type II errors cannot both occur in one hypothesis test. Type I and Type II error probabilities are conditional probabilities. At least one of Type I or Type II errors must occur.
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.
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...
Which of the following is true when thinking about statistical significance and effect sizes? A. A statistically significant effect will always have a meaningful effect size. B. A large effect size is will always be statistically significant. C. A statistically non-significant effect can have a large effect size.
Which of the following is true when thinking about statistical significance and effect sizes? A. A statistically significant effect will always have a meaningful effect size. B. A statistically significant effect will usually have a large effect size. C. A large effect size is will always be statistically significant. D. A statistically non-significant effect can have a large effect size.
1. Which of the following statements are not generally true? a. A type I error is usually more serious than a type II error. b. A type II error is usually more serious than a type I error. c. A test with significance level is one for which the type I error probability is controlled at the specified level. d. When an experiment and a sample size are fixed, then decreasing the size of the rejection region to obtain...