Review Chapter 5
Name_________________________________________
1. You want to ask a sample of professors at your school how they feel about the tenure system for faculty. You
realize that opinions may differ depending on the rank of the professor, especially because assistant professors
do not have tenure. So you take separate SRS's of assistant, associate, and full professors and combine them to
form your sample. You used a
(a) simple random sample.
(b) stratified random sample.
(c) multistage sample.
(d) voluntary response sample.
(e) convenience sample.
2. A quality control inspector on an assembly line making microwave ovens randomly chooses one of the first
ten ovens manufactured each day. This oven and every tenth oven thereafter gets inspected. This is called
(a) voluntary response sampling.
(b) an experiment.
(c) simple random sampling.
(d) systematic random sampling.
(e) stratified random sampling
3. You want to know the opinions of American school teachers about establishing a national test for high school
graduation. You obtain a list of the members of the National Education Association (the largest teachers' union)
and mail a questionnaire to 2500 teachers chosen at random from this list. In all 1347 teachers return the
questionnaire. In this situation, the population is
(a) the 1347 teachers who mail back the questionnaire.
(b) the 2500 teachers to whom you mailed the questionnaire.
(c) all members of the National Education Association.
(d) all American school teachers.
(e) all American school students.
4. In the situation of the previous question, the sampling frame is
(a) the 1347 teachers who mail back the questionnaire.
(b) the 2500 teachers to whom you mailed the questionnaire.
(c) all members of the National Education Association.
(d) all American school teachers.
(e) all American school students.
5. In the situation of the two previous questions, the sample is
(a) the 1347 teachers who mail back the questionnaire.
(b) the 2500 teachers to whom you mailed the questionnaire.
(c) all members of the National Education Association.
(d) all American school teachers.
(e) all American school students.
6. Which of the following is a source of nonsampling error in a sample survey?
(a) Voluntary response sampling.
(b) Using voter registration lists as the sampling frame.
(c) Some subjects do not tell the truth.
(d) Both (b) and (c).
(e) None of these.
7. If we choose a simple random sample (SRS) from a population, we can be sure that the ________which we
compute from our SRS is a/an ________ estimate of the population's true________. We also know that we can
reduce the ________ of our result as desired by taking a large enough sample. The appropriate sequence of
words to complete this statement is
(a) parameter, variation, statistic, unbiasedness
(b) parameter, unbiased, statistic, variation
(c) statistic, variation, parameter, unbiasedness
(d) statistic, variaton, parameter, bias
(e) statistic, unbiased, parameter, variation
8. A sample of student opinion at a Big Ten university selects an SRS of 200 of the 30,000 undergraduate
students and a separate SRS of 100 of the 5,000 graduate students. This kind of sample is called a
(a) simple random sample.
(b) stratified random sample.
(c) systematic random sample.
(d) multistage sample.
(e) biased sample.
9. An opinion poll asks a sample of 1100 people whether they support reducing the number
of legal immigrants to the U.S.; 53% of these 1100 people say "Yes." The number 53% is a
(a) margin of error. (b) statistic.
(c) bias.
(d) parameter.
(e) reliability.
10. The local school board posts average SAT Math scores for each high school in the district. For one
particular high school, the average math score is given as 516. A statistics teacher at that high school thinks that
this is too high. He takes a random sample of 100 students and finds that their average SAT Math score is 486.
Population: _______________________________________________
Sample: _______________________________________________
Parameter: _______________
Statistic: _______________
11. When constructing a 95% confidence interval for proportions, what would be the approximate margin of
error for a sample size of 200 people? ___________
Vocabulary Match
Bias
Convenience Sample
Margin of Error
Nonresponse Error
Nonsampling Error
Parameter
Population
Probability Sample
Processing Error
Question-Wording Bias
Random Sampling Error
Response Error
Sample
Sampling Frame
Simple Random Sample
Statistic
Stratified Sample
Systematic Sample
Undercoverage
Variability
Voluntary Response Sample
Error which occurs when an individual chosen for the
sample cannot be contacted or refuses to cooperate
Systematic favoring of certain outcomes
A sample of size n individuals from the population
chosen in such a way that every set of n individuals
has an equal chance to be the sample actually selected
Deviation between the sample statistic and populations
parameter caused by chance in selecting a random
sample
A number that describes the population
Error that occurs when a subject gives an incorrect
response
Bias created by the wording of the survey question(s)
Error in mechanical tasks such as in doing arithmetic
or in entering responses into computer
The part of the population we actually collect
information
Any sample which uses chance to select the sample
Sampling error not related to the act of selecting a
sample from the population
Sample consisting of people who choose themselves
by responding to a general appeal
The entire group of individuals about which we want
information
A sample obtained by dividing the population into
subgroups according to various homogeneous
characteristics and then selecting members from each
subgroup for the sample
Number that describes a sample
List of individuals from which a sample is actually
selected
How spread out the values of the sample statistic are
when we take many samples
Sample which chooses the individual easiest to reach
Measure of the sampling variability which tells how
much confidence we have in the results of a survey
Bias which occurs when some groups in the
population are left out of the process of choosing the
sample
A sample obtained by numbering each element in the
population and then selecting every third or fifth or
tenth, etc., number from the population to be included
in the sample