Chapter 1: Sampling and Data
Q. 44
A cardiologist is interested in the mean recovery period of her patients who have had heart attacks.
Q. 45
Insurance companies are interested in the mean health costs each year of their clients, so that they can determine the costs of health insurance.
Q. 46
A politician is interested in the proportion of voters in his district who think he is doing a good job.
Q.47
A marriage counselor is interested in the proportion of clients she counsels who stay married.
Q. 48
Political pollsters may be interested in the proportion of people who will vote for a particular cause.
Q. 49
A marketing company is interested in the proportion of people who will buy a particular product.
Q.50
What is the population she is interested in?
a. all Lake Tahoe Community College students
b. all Lake Tahoe Community College English students
c. all Lake Tahoe Community College students in her classes
d. all Lake Tahoe Community College math students
Q.52
The instructor’s sample produces a mean number of days absent of 3.5 days. This value is an example of a:
a. parameter.
b. data.
c. statistic.
d. variable.
Q.53
For the following exercises, identify the type of data that would be used to describe a response (quantitative discrete, quantitative continuous, or qualitative), and give an example of the data.
53. number of tickets sold to a concert.
Q.54
For the following exercises, identify the type of data that would be used to describe a response (quantitative discrete, quantitative continuous, or qualitative), and give an example of the data. percent of body fat