True or False: 1. A chi-square test is only appropriate if the expected counts i

Question

True or False:

1. A chi-square test is only appropriate if the expected counts in each cell of a table are greater than 5.

2. An outlier can cause more problems in a t-test than in a rank test.

3. If the null hypothesis is true, and you do a statistical test and get a p-value that is smaller than your alpha-level, you will reject the null hypothesis and make a type-2 error.

4. The width of a confidence interval increases as the sample size increases.

5. if a screening test has 90% sensitivity and 80% specificity, then 90% of people with disease will test positive.

Explanation / Answer

1. True

2. True, as normality assumption is violated in t test , so t test gives faulty results, whereas nonparametric test like rank test can be done

3.False, as type 2 error is accepting a false hypothesis

4.False, as sample size incresases standard error (s/sqrt(n)) decreases, so width of confidence interval decreases

5.True, as sensitivity is the ability of a test to correctly identify those with disease, whereas specificity is the ability of a test to correctly identify those without the disease

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