True or false 1. If the sensitivity of a screening test is 95% and the disease i

Question

True or false

1. If the sensitivity of a screening test is 95% and the disease is very rare, then the probability you have disease given that you got a positive test will also be close to 95%.

2. A confidence interval for a single mean gives a range of plausible values for that mean, while a population prediction interval gives a range of plausible values for a randomly chosen individual from the population.

3. If a 95% confidence interval for a difference in mean blood pressure between treatment and placebo groups is (.68, 1.3) then a 2-tailed test at =.05 would reject the null hypothesis that the groups are the same.

4. A correlation of 1 means the values for the two variables are exactly the same.

5. If you are comparing two groups with respect to 20 different variables, and do not adjust for the number of comparisons you are making, you will have a probability of making a type-I error that is larger than alpha=.05.

Explanation / Answer

True : Sensitivity is the proportion of patients with disease who test positive and Specificity is the proportion of patients without disease who test negative.

True : That's why confidence interval is always narrower than prediction interval

False

False : It helps to understand the relationship between the two variables. If it is 1 then it means both variables can be explained by other one completely

False : The probability of making a type I error is , which is the level of significance you set for your hypothesis test.

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