Question

A new diagnostic test is created to assist in detection of a rare disease. During development, a study is conducted to evaluate the effectiveness of this new test. The test is run on 100 known cases and 200 controls. Results indicate that 90 of the cases yield positive tests, as do 30 of the controls.

07. The Positive Predictive Value for this test indicates that: A. The likelihood that a positive test result is predictive of disease is 30/120, or 25 % B. The likelihood that a positive test result is predictive of disease is 90/100, or 90% C. The likelihood that a positive test result is predictive of disease is 90/120, or 75% D. The likelihood that a positive test result is predictive of disease is 3 times greater (90/30) than the likelihood that a positive test result is predictive of no disease E. The likelihood that a positive test result is predictive of disease is 9 times greater (90/10) than the likelihood that a positive test result is predictive of no disease

08. If one extremely high score is added to a distribution of scores, what effect would it have on measures of central tendency? A. It will alter the mean to a greater extent than it will alter the median or mode B. It will alter the median to a greater extent than it will alter the mode or mean C. It will alter the mode to a greater extent than it will alter the median or mean D. It will have an equivalent effect on the mean, median, and mode E. It will have no effect on the mean, median, or mode

09. The probability of failing to reject the null hypothesis when the null hypothesis is false is known as: A. Power B. p-value C. Type I error D. Type II error

Answer 1

Solution: 07. The Positive Predictive Value for this test indicates that:

Answer: .C. The likelihood that a positive test result is predictive of disease is 90/120, or 75%

08. If one extremely high score is added to a distribution of scores, what effect would it have on measures of central tendency?

Answer: A. It will alter the mean to a greater extent than it will alter the median or mode

09. The probability of failing to reject the null hypothesis when the null hypothesis is false is known as:

Answer: D. Type II error