4. A resort employs 3,500 managers and staff. To ascertain their employees' opinions of a proposed
health insurance plan, 350 employees are surveyed at random. The proportion of the 350 employees
who favor the health insurance plan represents a parameter in this scenario.
6. 35% of a sample of 300 professional baseball players indicated that their parents did not play baseball.
Based on this sample, we estimate that approximately 35% of the parents of all professional baseball
players did not play baseball, plus or minus 5%. This is an example of using inferential statistics.
12. You take a random sample to estimate a population mean and your results have a confidence level of
80%. That means the process you used will give you correct results 80% of the time.
13. A random sample of 100 students is taken at LearnAll University and it’s found that their average GPA
is 3.1. If this information is used to help estimate the average GPA for all students at LearnAll
University, which branch of statistics was applied?
a. Descriptive statistics
b. Inferential statistics
c. Sample statistics
d. Population statistics
ANS: B PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
14. A company has developed a new computer microprocessor whose average lifetime is unknown. In
order to estimate this average, 300 microprocessors are randomly selected from a large production line
and tested; their average lifetime is found to be 7 years. The 300 microprocessors represent a:
a. parameter.
b. statistic.
c. sample.
d. population.
ANS: C PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
15. A company has developed a new engine whose average lifetime is unknown. In order to estimate this
average, 100 engines are randomly selected from a large production line and tested; their average
lifetime is found to be 11 years. The 11 years represents a:
a. parameter.
b. statistic.
c. sample.
d. population.
16. A descriptive measure that is computed from a sample is called a:
a. parameter.
b. statistic.
c. population.
d. sample.
ANS: B PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
17. A summary measure that is computed from a population is called a:
a. sample.
b. statistic.
c. population.
d. parameter.
ANS: D PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
18. Which of the following is a measure of the reliability of a statistical inference?
a. A population parameter.
b. A significance level.
c. A descriptive statistic.
d. A sample statistic.
ANS: B PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
19. A councilman who is running for the office of senator of a state with 3.5 million registered voters
commissions a survey. In the survey, 46% of the 8,000 registered voters interviewed say they plan to
vote for him. The population of interest is:
a. the 3.5 million registered voters in the state.
b. the 8,000 registered voters interviewed.
c. the 46% who plan to vote for her.
d. all the residents of the state.
ANS: A PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
20. A company has developed a new power cell and wants to estimate its average lifetime. A random
sample of 650 power cells is tested and the average lifetime of this sample is found to be 315 hours.
The 315 hours is the value of a:
a. parameter.
b. statistic.
c. sample.
d. population.
ANS: B PTS: 1 REF: SECTION 1.1
NAT: Analytic; Statistical Inference
21. The process of using sample statistics to draw conclusions about population parameters is called:
a. finding the significance level.
b. calculating descriptive statistics.
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