Quiz 3 Review
Name:
Standard(s) assessed
2.Sampling
Distinguish between populations and samples and between parameters and statistics
3.SRS
Carry out a simple random sample
4.Sampling Errors

Critique sampling done by others.

Recognize bias in poor sampling methods and that random sampling is an unbiased
method
Multiple Choice
1.
Sampling variability is the concept that the results in a study will vary from sample
to sample in random sampling. To reduce sampling variability, a researcher can…
(a.)
increase the sample size
(b.) use resistant parameters
(c.)
make a dotplot
(d.) use judgment instead
2.
The best possible procedure for using a sample for estimating a characteristic of a
population is one that has:
(a.)
High bias and low variability
(b.) Low bias and low variability
(c.)
Low bias and high variability
(d.) High bias and high variability
For questions 3 and 4 use the following situation:
Suppose that 80% of all American students send a card to their mother on Mother's
Day and that you selected a simple random sample of 400 American college students
and to determine the proportion of them who send a card to their mother on
Mother's Day. Suppose further that in the random sample of 400 students, 300 or
75% of them send a card to their mothers.
3.
Which of the following is true?
(a.)
the 400 college students are the population
(b.) the sample size is 400
(c.)
all college students in the world are the sample
(d.) the sample is the 300 students who send a card
4.
5.
Which of the following is the parameter of interest?
(a.)
the proportion of college students who send a card on Mother’s Day
(b.) the proportion of the 400 students in the sample who send a card
(c.)
the proportion of all college students in the world who send a card
(d.) the 300 students in the sample who sent a card
Suppose we are interested in the average reading achievement test
score of the currently enrolled students in Edison Elementary School.
The tests would be the observational units. The test scores would be ________ while the
average score of all students in one teacher’s class is __________.
(a.) an observational unit, a sample
(b.) a sample, a parameter
(c.) a variable, a sample
(d.) a population, a variable
6.
A sample is:
(a.) a number resulting from the manipulation of raw data according to
specified rules.
(b.) a subset of a population.
(c.) a characteristic of a population which is measurable.
(d.) a complete set of individuals, objects, or measurements having some common
observable characteristic.
7.
Characteristics of a sample are called ________, while those of a
population are termed _________.
(a.) statistics; measures
(b.) parameters; statistics
(c.) statistics; variables
(d.) statistics; parameters
8.
Which of the following is really a random sample?
(a.) The teacher wants to show a representative sample of student work, so she picks one
good paper, one average paper, and one bad paper.
(b.) The gym teacher asks the students to line up and count off by four’s. All the “one’s”
are selected to be one team.
(c.) The name of each person in the population is put into a hat and mixed well. Names
are drawn from the hat without looking.
(d.) The surveyor picks a sample of people he feels is representative of the population.
9.
A simple random sample is one where
a) you use your best judgment to find a representative group.
b) you choose each item without really thinking about it.
c) you select a group that shares some characteristic.
d) all of the above are true.
e) none of the above are true.
10.
The generation of American children born in the 1990s and 2000s have been dubbed
“Generation M” because of the impact of media exposure. To study the television
viewing habits of Generation M teenagers, researchers conducted a survey of 200
teenagers attending a MTV spring break event.
Describe each of the following:
Population:
Sample:
Parameter:
Statistic:
Do you think the sampling method used is biased? Explain.
11.
Select an SRS (Simple Random Sample) of 5 students using the numbered list
below and the table of random digits provided. Start at the beginning of the
second line to randomly select two-digit numbers corresponding to student
names.
Random number table:
40603
40941
73505
39412
57994
16152
53585
83472
16013
76748
83235
69958
55953
11442
54627
37361
60916
17957
89320
48511
98783
71018
11446
11307
78646
24838
90561
22618
49396
33287
Sample selected:
39793
84505
34771
39805
35524
80954
53980
25777
12249
54522
76865
64735
27064
57656
08795
___________
___________
___________
___________
___________
1
Sofia
2
Eassa
3
Jeffrey
4
Shakoya
5
John
6
Rebecca
7
William
8
Johanna
9
Allyson
10
Brandon
11
Dara
12
Jay
13
Nicole
14
Francis
15
Audrey
16
Anthoula
17
Hiep
18
Sean
19
Shanira
20
Alexis
21
Melanie
22
Ian
23
Rebecca
32713
85140
13526
88686
56273