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Essentials Of Statistics For The Behavioral Sciences 10th Edition Frederick J Gravetter,
Larry B. Wallnau, Lori Ann B. Forzano, James E. Witnauer
Chapter 01
1. A researcher uses an anonymous survey to investigate the television-viewing habits of 100 American adolescents. The
researcher plans to make an inference about the television-viewing habits of all American adolescents based on the results
of the survey. The entire group of American adolescents is an example of a _____.
a. sample
b. statistic
c. population
d. parameter
ANSWER: c
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
2. A researcher uses an anonymous survey to investigate the social media habits of American college students. Based on
the set of 300 surveys that were completed and returned, the researcher finds that students spend an average of 2 hours
each day using social media. The set of 300 students who returned surveys is an example of a _____.
a. parameter
b. statistic
c. population
d. sample
ANSWER: d
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
3. In order for a researcher to obtain a random sample, they need to specifically do which of the following things?
a. rule out confounding variables
b. ensure that each person in the population has an equal chance of being selected for the sample
c. make certain that results are valid
d. make sure that each participant has an equal chance of being assigned to each experimental condition
ANSWER: b
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
4. In contrast to a datum, which of the following descriptions is most consistent with the concept of data?
a. the mean average of 15 participants’ individual scores on a problem-solving task
b. the percentile that the score of 1 participant on a problem-solving task falls into
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, c. the individual scores of 15 participants on a problem-solving task
d. the individual score of 1 participant on a problem-solving task
ANSWER: c
DIFFICULTY: Analyze
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Analyze
5. A researcher is curious about the average monthly car insurance bill for high school students in the state of Florida. If
this average could be obtained, it would be an example of a _____.
a. parameter
b. statistic
c. population
d. sample
ANSWER: a
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
6. Which statement below regarding populations is true?
a. Populations typically are small in size.
b. Populations cannot consist of non-human animal research subjects.
c. The experimental research method should be used to examine populations.
d. It usually is challenging to obtain data from every person in a population.
ANSWER: d
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
7. The relationship between a statistic and a sample is the same as the relationship between _____.
a. a sample and a population
b. a statistic and a parameter
c. a parameter and a population
d. descriptive and inferential statistics
ANSWER: c
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
8. Organizing a set of scores in a table or computing an average to summarize a data set is an example of using ______.
a. parameters
b. random sampling
c. descriptive statistics
d. inferential statistics
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, ANSWER: c
DIFFICULTY: Remember
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Remember
9. A characteristic, usually a numerical value, which describes a sample is called a _____.
a. parameter
b. statistic
c. variable
d. constant
ANSWER: b
DIFFICULTY: Remember
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Remember
10. A researcher is interested in average first semester change in weight (gain or loss) for students at a local college. Thus,
they record the individual change in weight for a small group of 25 freshman from this college during their first semester.
Then, the researcher calculates the average change in weight during the first semester among these 25 students. The
average is an example of a ______.
a. statistic
b. parameter
c. variable
d. constant
ANSWER: a
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
11. The average verbal SAT score for the entire class of incoming college freshmen in the United States is 530. However,
if a sample of 20 incoming college freshmen is randomly selected from the United States, it is likely that this sample’s
average verbal SAT score will not be exactly 530. This is consistent with the concept of _____.
a. statistical error
b. inferential error
c. sampling error
d. descriptive error
ANSWER: c
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
12. Random assignment helps to strengthen causal inferences within an experiment by ruling out potential confounding
variables otherwise introduced to an experiment due to individual differences in participants.
a. True
b. False
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Essentials Of Statistics For The Behavioral Sciences 10th Edition Frederick J Gravetter,
Larry B. Wallnau, Lori Ann B. Forzano, James E. Witnauer
Chapter 01
1. A researcher uses an anonymous survey to investigate the television-viewing habits of 100 American adolescents. The
researcher plans to make an inference about the television-viewing habits of all American adolescents based on the results
of the survey. The entire group of American adolescents is an example of a _____.
a. sample
b. statistic
c. population
d. parameter
ANSWER: c
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
2. A researcher uses an anonymous survey to investigate the social media habits of American college students. Based on
the set of 300 surveys that were completed and returned, the researcher finds that students spend an average of 2 hours
each day using social media. The set of 300 students who returned surveys is an example of a _____.
a. parameter
b. statistic
c. population
d. sample
ANSWER: d
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
3. In order for a researcher to obtain a random sample, they need to specifically do which of the following things?
a. rule out confounding variables
b. ensure that each person in the population has an equal chance of being selected for the sample
c. make certain that results are valid
d. make sure that each participant has an equal chance of being assigned to each experimental condition
ANSWER: b
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
4. In contrast to a datum, which of the following descriptions is most consistent with the concept of data?
a. the mean average of 15 participants’ individual scores on a problem-solving task
b. the percentile that the score of 1 participant on a problem-solving task falls into
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, c. the individual scores of 15 participants on a problem-solving task
d. the individual score of 1 participant on a problem-solving task
ANSWER: c
DIFFICULTY: Analyze
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Analyze
5. A researcher is curious about the average monthly car insurance bill for high school students in the state of Florida. If
this average could be obtained, it would be an example of a _____.
a. parameter
b. statistic
c. population
d. sample
ANSWER: a
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
6. Which statement below regarding populations is true?
a. Populations typically are small in size.
b. Populations cannot consist of non-human animal research subjects.
c. The experimental research method should be used to examine populations.
d. It usually is challenging to obtain data from every person in a population.
ANSWER: d
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
7. The relationship between a statistic and a sample is the same as the relationship between _____.
a. a sample and a population
b. a statistic and a parameter
c. a parameter and a population
d. descriptive and inferential statistics
ANSWER: c
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
8. Organizing a set of scores in a table or computing an average to summarize a data set is an example of using ______.
a. parameters
b. random sampling
c. descriptive statistics
d. inferential statistics
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, ANSWER: c
DIFFICULTY: Remember
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Remember
9. A characteristic, usually a numerical value, which describes a sample is called a _____.
a. parameter
b. statistic
c. variable
d. constant
ANSWER: b
DIFFICULTY: Remember
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Remember
10. A researcher is interested in average first semester change in weight (gain or loss) for students at a local college. Thus,
they record the individual change in weight for a small group of 25 freshman from this college during their first semester.
Then, the researcher calculates the average change in weight during the first semester among these 25 students. The
average is an example of a ______.
a. statistic
b. parameter
c. variable
d. constant
ANSWER: a
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
11. The average verbal SAT score for the entire class of incoming college freshmen in the United States is 530. However,
if a sample of 20 incoming college freshmen is randomly selected from the United States, it is likely that this sample’s
average verbal SAT score will not be exactly 530. This is consistent with the concept of _____.
a. statistical error
b. inferential error
c. sampling error
d. descriptive error
ANSWER: c
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
12. Random assignment helps to strengthen causal inferences within an experiment by ruling out potential confounding
variables otherwise introduced to an experiment due to individual differences in participants.
a. True
b. False
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