Test Bank
Multiple Choice
1. The use of tables and graphs to summarize data is an example of
A. inferential statistics.
B. interpretation.
C. descriptive statistics.
D. generalization.
Ans: C
Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.
Cognitive Domain: Knowledge
Answer Location: Descriptive and Inferential Statistics
Difficulty Level: Easy
2. Statistical analysis allows researchers to
A. collect data.
B. claim that an observation is scientific.
C. evaluate scientific observations.
D. study physical phenomena but not behavior.
Ans: C
Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.
,Cognitive Domain: Knowledge
Answer Location: Descriptive and Inferential Statistics
Difficulty Level: Easy
3. Procedures that allow researchers to infer or generalize observations made
with samples to the larger population from which they were selected best
describe
A. inferential statistics.
B. sample statistics.
C. descriptive statistics.
D. population parameters.
Ans: A
Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.
Cognitive Domain: Knowledge
Answer Location: Descriptive and Inferential Statistics
Difficulty Level: Easy
4. Descriptive statistics are procedures used to
A. summarize a set of scores or observations.
B. organize a set of scores or observations.
C. make sense of a set of scores or observations.
D. all of these
Ans: D
Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.
Cognitive Domain: Knowledge
Answer Location: Descriptive and Inferential Statistics
,Difficulty Level: Easy
5. A researcher records the number of votes for each of five candidates running
for class president. Based on her presentation of the following results, what type
of statistics did she use?
Candidate Number of Votes
A 120
B 125
C 42
D 203
E 20
A. inferential statistics
B. descriptive statistics
C. population statistics
D. deceptive statistics
Ans: B
Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.
Cognitive Domain: Comprehension
Answer Location: Descriptive and Inferential Statistics
Difficulty Level: Easy
6. Which of the following describes a descriptive statistic?
A. summarize
B. infer
C. generalize
D. predict
, Ans: A
Learning Objective: 1-1: Distinguish between descriptive and inferential statistics.
Cognitive Domain: Knowledge
Answer Location: Descriptive and Inferential Statistics
Difficulty Level: Easy
7. Suppose that a researcher is interested in a group of 10 million people who
paid to see a movie in theaters. In this example, the 10 million moviegoers would
be regarded as
A. a sample of moviegoers who paid to see the movie in a theater.
B. a population of moviegoers who paid to see the movie in a theater.
C. an independent variable.
D. a dependent variable.
Ans: B
Learning Objective: 1-2: Explain how samples and populations, as well as a
sample statistic and population parameter, differ.
Cognitive Domain: Comprehension
Answer Location: Descriptive and Inferential Statistics
Difficulty Level: Medium
8. Researchers measure data in a ______ to learn more about individuals in the
larger ______ of interest.
A. sample; population
B. statistic; inference
C. population; sample
D. inference; statistic
Ans: A