To answer questions 1-4, use the table
below which describes pets that are for sale at Marco’s pet emporium

1) Pet ID is a(n) ________variable.
A. Ordinal
B. Interval
C. Nominal
D. Ratio

2) Price is measured as a(n)
_______variable.
A. Ratio
B. Nominal
C. Interval
D. Ordinal

3) How many variables are qualitative?
A. 2
B. 3
C. 4
D. 5

4) The weight of the pets was most
likely collected through:
A. Experiment
B. Focus Group
C. Survey
D. Direct observations

For Questions 5-7, use data sheet
provided. It shows the number of employees who work for
the nationwide chain of ACME Hardware.

5) Using the 2k >n rule, how
many classes are required?
A. 3
B. 4
C. 5
D. 6

6) Using class width of 5, set lower
and upper bounds for first class to be 5 and 9, respectively.
Then create other classes, accordingly. What is the relative
frequency of the second class?
A. .2
B. .225
C. .250
D. .025

7) Which histogram accurately depicts
relative frequency of the data provided? For Questions 8 – 10, use data sheet
provided. It shows the number of TV’s sold weekly at Mr.
Big’s Furniture Mart.

8) Which variable is independent?
A. TV’s sold weekly
B. Week
C. Must be either variable
D. Shown on the vertical axis 2

9) Which stem and leaf plot is an
accurate depiction of the data?

10) Which chart accurately describes
the data provided?

For Questions 11 – 15, use the data
sheet provided. It is data for the heights (inches) for Ms.
Harvey’s 4th grade class.
11) The average height of the students is
A. 42.32
B. 52.50
C. 55.25
D. 58.35
12) The median height of the students is
A. 42.32
B. 52.50
C. 54.45
D. 58.35
13) The standard deviation (assume sample) of the students is
A. 9.51
B. 12.32
C. 43.54
D. 55.25
14) What is the z-score for the student who is 91 inches tall?
A. Cannot be calculated from the data provided
B. 0.00
C. -3.76
D. 3.76
15) Which measurement of central tendency is the best choice
to describe the height of the
students?
A. Mode
B. Median
C. Mean
D. Weighted Mean
For Questions 16 – 18, use the data sheet provided. It is
data for two stocks over a 30-day
period.
16) Which of the two stocks is the most consistent?
A. Flying High
B. Big Sky
C. Cannot compute CV with less than 100 data points
D. Not sufficient data to compute the CV
17) What is the Covariance between the two stocks?
A. -0.98
B. 0.98
C. -89.43
4 D. 89.43
18) What is the Correlation between the two stocks?
A. -0.98
B. 0.98
C. -89.43
D. 89.43
For Questions 19 -20, use the data sheet provided. It is data
reflecting the number of patients
having a cold by age groups.
19) What is the mean of the grouped data?
A. 6.43
B. 7.29
C. 18.64
D. 29.13
20) What is the standard deviation of the grouped data
(assume sample)?
A. 2.83
B. 3.64
C. 7.29
D. 18.64
21) The table shows the salary range and frequency of
employees at a local company. What is
the probability that a randomly selected employee will have a
salary of $50,000 or higher?
Salary
0 to 19,999
20,000 to 29,999
30,000 to 39,999
40,000 to 49,999
50,000 to 59,999
60,000 to 69,999
70,000 to 79,999
80,000 to 89,999
90,000 or above A.
B.
C.
D. Frequen
cy
3
7
12
24
17
13
10
8
6 0.17
0.30
0.48
0.54 5 22) The probability that a student got an A on a
recent exam is 0.3. The probability that a student
studied 10 hours or more is 0.4. The probability that a
student studied 10 hours or more and
got and A is 0.25. The probability that a student got an A
given that they studied 10 hours or
more is 0.625. Which of the below is true?
A. Studying more than 10 hours and getting an A are mutually
exclusive events
B. Studying more than 10 hours and getting an A are
independent events
C. Studying more than 10 hours and getting an A are both
mutually exclusive events and
independent events
D. None of the above.
23) P(A) = 0.5
P(B) = 0.6
P(A or B) = 0.7
What is P(A and B)
A. 0.90
B. 0.40
C. 0.55
D. 0.30
24) The below table details sales information from a company
that sells camping gear and
boating accessories. They have 3 locations. The Sales column
details the simple probability
that a random selected sale was made at that location. The
boating accessory column tells us
the conditional probability that the sale was a boating
accessory, given that the sale was
made in that location. For example:
P(Lincoln sale) = 0.2
P(Boating accessory | Lincoln) = 0.35.
What is the probability that a randomly-selected sale at this
company would be a boating
accessory?
Location
Lincoln
Omaha
Kansas City A.
B.
C.
D. Sales
0.2
0.35
0.45 Boating Accessory
0.35
0.5
0.7 0.56
0.52
0.44
0.35 25) The probability that an individual owns a tablet
computer is 0.4. The probability that a
person owns a smart phone given that they own a tablet
computer is 0.9. The probability that
an individual owns a smart phone given they do not own a
tablet computer is 0.6. What is the
probability that an individual owns a smart phone?
A. 0.75
6 B. 0.72
C. 0.50
D. 0.90
26) The probability that an individual owns a tablet computer
is 0.4. The probability that a
person owns a smart phone given that they own a tablet
computer is 0.9. The probability that
a individual owns a smart phone given they do not own a
tablet computer is 0.6. What is the
probability that an individual owns a tablet computer given
that they own a smart phone?
A. 0.143
B. 0.856
C. 0.500
D. 0.280
27) P(A|B) = 0.7
P(B) = 0.5
P(A) = 0.4
What is P(A and B)
A. 0.35
B. 0.20
C. 0.45
D. 0.28
28) Fifteen individuals are competing in the Olympics in the
downhill slalom. How many
different ways can the gold, silver and bronze medals be
awarded?
A. 45
B. 2730
C. 455
D. 5005
29) Each month a local company has a drawing to award 2
employees a paid day off during that
month. Two names are drawn out of the 100 employees at the
firm. How many different
ways could these days off be awarded?
A. 9900
B. 200
C. 1570
D. 4950
30) The Texas State Lotto Board has implemented a new lotto
game where you select a one digit
number, a letter from the alphabet, and a month of the year.
Each night a drawing will select
one from each of the categories. How many possible outcomes
are there to this lottery.
A. 3120
B. 260
C. 3456
D. 5720
31) A salesman making calls on customers has a 0.35
probability of making a sale with each
customer. This week he has 20 appointments arranged with
customers. What is the expected
7 number of sales that would be made from these 20
appointments? Assume binomial
properties apply.
A. 6
B. 7
C. 8
D. 9
32) A salesman making calls on customers has a 0.35
probability of making a sale with each
customer. This week he has 20 appointments arranged with
customers. What is the Standard
Deviation of number of sales that would be made from these 20
appointments? Assume
binomial properties apply.
A. 4.55
B. 3.55
C. 1.47
D. 2.13
33) A salesman making calls on customers has a 0.35
probability of making a sale with each
customer. This week he has 20 appointments arranged with
customers. What is the
probability he will make exactly 6 sales? Assume binomial
properties apply.
A.
B.
C.
D. 0.171
0.350
0.00
0.417

34) A salesman making calls on customers has a 0.35
probability of making a sale with each
customer. This week he has 20 appointments arranged with
customers. What is the
probability that he will make less than 5 sales from these 20
appointments? Assume binomial
properties apply.
A.
B.
C.
D. 0.118
0.074
0.245
0.127

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