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York University

Administrative Studies

ADMS 2320

all

Summer

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CHAPTER 1 SECTION 1: WHAT IS STATISTICS?
MULTIPLE CHOICE
1. You take a random sample of 100 students at your university and find that their average GPA is 3.1. If
you use this information to help you estimate the average GPA for all students at your university, then
you are doing what branch of statistics?
a. Descriptive statistics
b. Inferential statistics
c. Sample statistics
d. Population statistics
ANS: B PTS: 1 REF: SECTION 1.1
2. A company has developed a new computer sound card whose average lifetime is unknown. In order to
estimate this average, 200 sound cards are randomly selected from a large production line and tested;
their average lifetime is found to be 5 years. The 200 sound cards represent a:
a. parameter.
b. statistic.
c. sample.
d. population.
ANS: C PTS: 1 REF: SECTION 1.1
3. A company has developed a new computer sound card whose average lifetime is unknown. In order to
estimate this average, 200 sound cards are randomly selected from a large production line and tested;
their average lifetime is found to be 5 years. The 5 years represents a:
a. parameter.
b. statistic.
c. sample.
d. population.
ANS: B PTS: 1 REF: SECTION 1.1
4. 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
5. 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
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold,
copied, or distributed without the prior consent of the publisher. 6. 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
7. A politician who is running for the office of governor of a state with 4 million registered voters
commissions a survey. In the survey, 54% of the 5,000 registered voters interviewed say they plan to
vote for her. The population of interest is:
a. the 4 million registered voters in the state.
b. the 5,000 registered voters interviewed.
c. the 54% who plan to vote for her.
d. all the residents of the state.
ANS: A PTS: 1 REF: SECTION 1.1
8. A company has developed a new battery and wants to estimate its average lifetime. A random sample
of 500 batteries is tested and the average lifetime of this sample is found to be 225 hours. The 225
hours is the value of a:
a. parameter.
b. statistic.
c. sample.
d. population.
ANS: B PTS: 1 REF: SECTION 1.1
9. The process of using sample statistics to draw conclusions about population parameters is called:
a. finding the significance level.
b. calculating descriptive statistics.
c. doing inferential statistics.
d. calculating the confidence level.
ANS: C PTS: 1 REF: SECTION 1.1
10. Which of the following represents a population, as opposed to a sample?
a. 1,000 respondents to a magazine survey which has 500,000 subscribers.
b. The first 10 students in your class completing a final exam.
c. Every fifth student to arrive at the book store on your campus.
d. All registered voters in the State of Michigan.
ANS: D PTS: 1 REF: SECTION 1.1
11. A researcher at Michigan State University (MSU) wants to estimate the average number of credits
earned by students last semester at MSU. She randomly selects 500 students from last semester and
finds that they averaged 14.85 credits per student. The population of interest to the researcher is:
a. all MSU students.
b. all college students.
c. all MSU students enrolled last semester.
d. the 500 MSU students selected at random.
ANS: C PTS: 1 REF: SECTION 1.1
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold,
copied, or distributed without the prior consent of the publisher. 12. A study is under way to determine the average height of all 32,000 adult pine trees in a certain national
forest. The heights of 500 randomly selected adult pine trees are measured and analyzed. The sample
in this study is:
a. the average height of the 500 randomly selected adult pine trees.
b. the average height of all the adult pine trees in this forest.
c. all the adult pine trees in this forest.
d. the 500 adult pine trees selected at random from this forest.
ANS: D PTS: 1 REF: SECTION 1.1
13. A study is under way to determine the average height of all 32,000 adult pine trees in a certain national
forest. The heights of 500 randomly selected adult pine trees are measured and analyzed. The
parameter in the study is:
a. the average height of the 500 randomly selected adult pine trees.
b. the average height of all the adult pine trees in this forest.
c. all the adult pine trees in this forest.
d. the 500 adult pine trees selected at random from this forest.
ANS: B PTS: 1 REF: SECTION 1.1
14. How do confidence levels compare to significance levels?
a. Confidence levels and significance levels are both typically small.
b. Confidence levels and significance levels are both typically large.
c. Confidence levels are typically small and significance levels are typically large.
d. Confidence levels are typically large and significance levels are typically small.
ANS: D PTS: 1 REF: SECTION 1.1
15. The significance level of a statistical inference measures:
a. the proportion of times a conclusion about a population will be correct in the long run.
b. the proportion of times a conclusion about a population will be wrong in the long run.
c. the proportion of times an estimation procedure will be correct in the long run.
d. the proportion of times an estimation procedure will be wrong in the long run.
ANS: B PTS: 1 REF: SECTION 1.1
16. The confidence level of a statistical inference measures:
a. the proportion of times a conclusion about a population will be correct in the long run.
b. the proportion of times a conclusion about a population will be wrong in the long run.
c. the proportion of times an estimation procedure will be correct in the long run.
d. the proportion of times an estimation procedure will be wrong in the long run.
ANS: C PTS: 1 REF: SECTION 1.1
TRUE/FALSE
17. The significance level measures the proportion of the time an inference about a population will be
correct in the long run.
ANS: F PTS: 1 REF: SECTION 1.1
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold,
copied, or distributed without the prior consent of the publisher. 18. A summary measure that is computed from a sample is called a statistic.
ANS: T PTS: 1 REF: SECTION 1.1
19. The confidence level is the proportion of times that an estimating procedure will be wrong in the long
run.
ANS: F PTS: 1 REF: SECTION 1.1
20. A university employs 2,500 faculty and staff. To ascertain their employees' opinions of a proposed
health insurance plan, 250 employees are surveyed at random. The proportion of the 250 employees
who favor the health insurance plan represents a parameter in this scenario.
ANS: F PTS: 1 REF: SECTION 1.1
21. In a sample of 400 students selected from a large college of business, 30% are found to be marketing
majors. The 30% is a statistic.
ANS: T PTS: 1 REF: SECTION 1.1
22. Twenty-five percent of a sample of 200 professional tennis players indicated that their parents did not
play tennis. Based on this sample, we estimate that approximately 25% of the parents of all
professional tennis players did not play tennis, plus or minus 5%. This is an example of using
inferential statistics.
ANS: T PTS: 1 REF: SECTION 1.1
23. A population is the group of all items of interest to a statistics practitioner.
ANS: T PTS: 1 REF: SECTION 1.1
24. A statistic is typically a known quantity while a parameter is typically an unknown quantity.
ANS: T PTS: 1 REF: SECTION 1.1
25. Statistical inference is the process of making an estimate, prediction, or decision about a population
based on sample data.
ANS: T PTS: 1 REF: SECTION 1.1
26. A descriptive measure of a population is called a parameter.
ANS: T PTS: 1 REF: SECTION 1.1
27. A descriptive measure of a sample is called a parameter.
ANS: F PTS: 1 REF: SECTION 1.1
28. You take a random sample to estimate a population mean and your results have a confidence level of
90%. That means the process you used will give you correct results 90% of the time.
ANS: T PTS: 1 REF: SECTION 1.1
This edition is intended for use outsid

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