Question: Q1. Does a given sample mean reflect exactly the underlying population mean? A. Yes B. No C. Unsure Q2. Point estimation surrounds the interval estimates

Q1. Does a given sample mean reflect exactly the underlying population mean?

A. Yes B. No C. Unsure

Q2. Point estimation surrounds the interval estimates with a margin of error to create a range of values that capture the parameter.

A. True B. False C. Unsure

Q3. If you need a higher confidence level in your estimation, you must seek a shorter, not a wider interval.

A. True B. False C. Unsure

Q4. Margin of error helps to measure the precision of the estimate.

A. True B. False C. Unsure

Q5. As the degree of freedom increases, the t distribution becomes more like the z distribution.

A. True B. False C. Unsure

Q6. Researchers are interested in testing the effectiveness of a new investigational drug aimed at increasing overall survival among HIV-positive patients coinfected with Hepatitis C. Current national data claim that five-year survival for patients with HIV and Hepatitis is 32%. The after- treatment analysis with a sample of 15,000 patients shows five-year survival for those treated with the new medication is 37%. The 37% survival for the treatment group represent:

A. The parameter B. The statistic C. Both D. None of the above

Q7. As we increase the confidence level from (e.g., 90% to 95%), the precision of our estimate decreases.

A. True B. False C. Unsure

Q8. One of the conditions for one-sample z test is that the population standard deviation is unknown.

A. True B. False C. Unsure known.

Q9. You are interested in finding out the relationship between age (a dichotomous categorical variable) and systolic blood pressure (a quantitative variable). What is the most appropriate statistical test you would recommend for testing the hypothesis?

A. Paired sample t test B. One-sample t-test C. Independent sample t test D. None of the above.

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