2377 Practise Final
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MAT 2377
Final Examination
Winter 2020
Final Exam
Version: 27866
April 20, 2020
Time Limit: 3 Hours
Start Time: 2PM EST
This exam contains 37 pages (including this cover page and tables) and 110 questions.
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will follow the directives and work on this examination alone.
Multiple choice questions and true or false question are worth 1 mark each; short answer
questions, 2 marks. There are no part marks. For each question, record your answer in the
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No worries. You’ve got this.
MAT 2377
Final Exam
-
Page 2 of 37
April 20, 2020
1. [1]
Multiple Choice Question
An insurance company divides its customers into three classes: with low risk, medium
risk and high risk.
For each group, the probability that a person has at least one
accident within a year is, respectively, 0.05, 0.15 and 0.25. It is estimated that 50% of
the population is in low risk group, 35% in medium risk group, and 15% in the high
risk group. One person is selected at random. What is the probability that this person
will have at least one accident within a year?
A. 0.215
B. 0.115
C. 0.45
D. 0.095
E. none of the preceding
2. [1]
Multiple Choice Question
From a group of 25 members of a Board of Directors, in how many ways one can select
a vice-president and a president? (vice-president and president are different persons).
A. 25
B. 50
C. 600
D. 625
E. none of the preceding
3. [1]
Multiple Choice Question
In how many ways can we select four out of 12 companies renting construction
equipment to be ranked as first, second, third and fourth?
A. 11880
B. 20736
C. 495
D. 12
E. none of the preceding
4. [1]
Multiple Choice Question
In a pile of 20 tires, three of them are defective. Four tires are selected randomly for
inspection. What is the probability that exactly one is defective?
A. 0.15
B. 0.42
C. 0.1053
D. 0.4912
E. none of the preceding
5. [1]
Multiple Choice Question
A company has four technicians.
The technicians T1, T2, T3 and T4 repair 20%,
15%, 50% and 15% of failures, respectively.
Suppose that these technicians do not
complete their repairs in 3%, 1%, 2% and 1% cases, respectively. If a repair has not
been completed, what is the probability that this job was conducted by technician T1?
A. 0.019
B. 0.05
C. 0.316
D. 0.20
E. none of the preceding
MAT 2377
Final Exam
-
Page 3 of 37
April 20, 2020
6. [1]
Multiple Choice Question
Consider the following system with six components. It operates only if there is a path
of functional components from left to the right. The probability that each components
functions is as shown.
What is the probability that the circuit operates?
Assume
independence.
A. 0.723
B. 0.373
C. 0.511
D. 0.633
E. none of the preceding
7. [1]
Multiple Choice Question
Consider the following system with four components. It operates only if there is a path
of functional components from left to the right. The probability that each component
functions is as shown.
What is the probability that the circuit operates?
Assume
independence.
A. 0.32
B. 0.16
C. 0.035
D. 0.68
E. none of the preceding
8. [1]
Multiple Choice Question
A group of 20 workers was surveyed to obtain their opinion about new security
measures. If 12 workers are in favour of the new rules and 8 oppose them, what is the
probability that two randomly selected workers (from the group of twenty) oppose the
new security measures?
A. 2/44
B. 14/95
C. 1/6
D. 12/45
E. none of the preceding
MAT 2377
Final Exam
-
Page 4 of 37
April 20, 2020
9. [1]
Multiple Choice Question
Consider the following system with five components. It operates only if there is a path of
functional components from left to the right. The probability that each device functions
is as shown. What is the probability that the circuit operates? Assume independence.
A. 0.84
B. 0.16
C. 0.035
D. 0.50
E. none of the preceding
10. [1]
Multiple Choice Question
In a study on opposite-sex couples and work, 1000 couples have both the male and the
female working.
Each person was asked whether his or her salary exceeded $30,000.
The following information was obtained.
M
≤
$30
K
M >
$30
K
F
≤
$30
K
430
410
F >
$30
K
60
100
What is the probability that a female earns more than $30K given that the male earns
less than $30K?
A. 0.8059
B. 0.1961
C. 0.1224
D. 0.5700
E. none of the preceding
11. [1]
Multiple Choice Question
Consider a box of 50 fuses which contains 8 faulty fuses.
Five fuses are selected at
random. What is the probability that none of them is faulty?
A. 0.4015
B. 0.84
C. 0.3725
D. 0.4275
E. none of the preceding
12. [1]
Multiple Choice Question
Fifteen individuals volunteered to take part in an experiment. We have 5 treatments.
We want to partition the 15 subjects into 5 treatment groups of equal size.
In how
many different ways can we accomplish this task?
A. 1024
B. 325
C. 15
D. 168,168,000
E. none of the preceding
MAT 2377
Final Exam
-
Page 5 of 37
April 20, 2020
13. [1]
Multiple Choice Question
If
A
and
B
are disjoint events,
P
(
A
) = 0
.
5, and the probability that at least one of the
two events occurs is 0.6, calculate
P
(
B
).
A. 0.6
B. 0.5
C. 0.1
D. 0.9
E. 0.4
14. [1]
Multiple Choice Question
Studies show that 12% of all patients treated in the ER are admitted to stay overnight.
Of the patients treated, 1% have an adverse drug reaction and 12.4% are admitted
overnight or have an adverse drug reaction. We select a patient at random. What is the
probability that the patient will be admitted to stay overnight and have a drug reaction?
A. 0.006
B. 0.5
C. 0.875
D. 0.004
E. 0.114
15. [1]
Multiple Choice Question
Studies show that 12% of all patients treated in the ER are admitted to stay overnight.
Of the patients treated, 1% have an adverse drug reaction and 12.4% are admitted
overnight or have an adverse drug reaction. We select a patient at random. What is
the probability that the patient will be admitted but have no adverse drug reaction?
A. 0.006
B. 0.5
C. 0.875
D. 0.004
E. 0.114
16. [1]
Multiple Choice Question
Studies show that 12% of all patients treated in the ER are admitted to stay overnight.
Of the patients treated, 1% have an adverse drug reaction and 12.4% are admitted
overnight or have an adverse drug reaction. We select a patient at random. What is the
probability that the patient will have an adverse drug reaction but won’t be admitted
overnight?
A. 0.006
B. 0.5
C. 0.875
D. 0.004
E. 0.114
17. [1]
Multiple Choice Question
Consider events
A
and
B
such that
P
(
A
) = 0
.
7,
P
(
B
) = 0
.
2 and
P
(
A
∩
B
) = 0
.
3.
Compute the probability that
A
will occur, given that
B
does not occur.
A. 0
.
4
B. 0
.
1
C.
-
0
.
1
D. 0
.
5
E. none of the preceding
18. [1]
Multiple Choice Question
The data collected during an exhibition show that 1% of all donors are HIV positive
and 2% were positive for herpes.
If 1.5% of all donors were positive for only one or
the other (but not both) of these conditions, what is the probability that a randomly
selected donor has none of these conditions?
A. 0.9775
B. 0.9925
C. 0.9850
D. 0.9700
E. 0.9950
MAT 2377
Final Exam
-
Page 6 of 37
April 20, 2020
19. [1]
Multiple Choice Question
It was reported that 60% of a particular type of services are financed by private funds,
70% are funded by employers and employees, and 40% are financed by private funds
and by the employers and employees. What is the probability that an individual that
is randomly accessing such a service will choose a service that is funded by employers
and employees but not by private funds?
A. 0.30
B. 0.20
C. 0.10
D. 0.50
E. none of the preceding
20. [1]
Multiple Choice Question
On average, 1 in 100 people have a particular mutated gene. 600 people are examined.
Approximate the probability that 5 or more have the gene.
A. 0.10
B. 0.90
C. 0.73
D. 0.26
E. none of the preceding
21. [1]
Multiple Choice Question
Suppose
X
is a random variable with probability mass function
f
(
x
) =
k
if
x
= 0
k
if
x
= 1
14
/
25
if
x
= 3
Find
k
.
A. 11/50
B. 11/25
C. 22/25
D. 22/50
E. none of the preceding
22. [1]
Multiple Choice Question
Let
X
be a continuous random variable with density
f
(
x
) =
e
-
3
x
,
x > a
. Find
a
.
A. (ln 3)
/
3
B.
-
(ln 3)
/
3
C. 0
D. 3
E. none of the preceding
23. [1]
Multiple Choice Question
Suppose
X
is a random variable with probability mass function
f
(
x
) =
k
if
x
= 0
k
if
x
= 1
3
k
if
x
= 2
14
/
25
if
x
= 3
Find
k
.
A. 11/500
B. 11/250
C. 11/125
D. 11/120
E. none of the preceding
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MAT 2377
Final Exam
-
Page 7 of 37
April 20, 2020
24. [1]
Multiple Choice Question
The lifetime of a voltage regulator for a car follows an exponential distrubution with a
mean of 6 years. The number of failures follows a Poisson distribution with a mean of
one failure every 6 years. A person buys a 6-year-old car and counts on owning it for
another 6 years. If the regulator suffers a failure 3 years after the purchase, compute
the average number of years until the next failure.
A. 6
B. 0
C. 3
D. 12
E. none of the preceding
25. [1]
Multiple Choice Question
The air pressure in a random tire on a certain new car model is normally distributed
with a mean of 31lb/in
2
and a standard deviation of 0.5lb/in
2
. What is the probability
that the pressure of a randomly selected tire falls between 30.5 and 31.5 lb/in
2
?
A. 0.6827
B. 0.3173
C. 0.5000
D. 0.4245
E. none of the preceding
26. [1]
Multiple Choice Question
Trucks arrive at a loading/unloading station according to a Poisson process with a rate
of 2 trucks per hour. Determine the probability that at least 3 trucks will arrive at the
station in the next 30 minutes.
A. 0.86
B. 0.59
C. 0.13
D. 0.81
E. 0.08
27. [1]
Multiple Choice Question
Trucks arrive at a loading/unloading station according to a Poisson process with a rate
of 2 trucks per hour. A truck just arrived at the station. A station employee would like
to know if he has enough time to take a break. Let the random variable
T
represent
the waiting time (in hours) until the next truck arrival. What is the probability that
the employee has 15 minutes until the next arrival (that is, determine
P
(
T >
0
.
25))?
A. 0.5
B. 0.3435
C. 0.6065
D. 0.7788
E. none of the above
28. [1]
Multiple Choice Question
In a nickel-cadmium battery NiCd, a fully charged cell consists of nickelic hydroxide.
Nickel is an element which has multiple oxidation states. Let
X
be the charge of nickel,
which has the following probability mass function:
x
f
X
(
x
)
0
0
.
18
1
0
.
34
2
0
.
33
4
0
.
15
Determine the mean charge of nickel.
A. 2.0
B. 1.5
C. 1.6
D. 1.45
E. none of the preceding
MAT 2377
Final Exam
-
Page 8 of 37
April 20, 2020
29. [1]
Multiple Choice Question
Let
X
be the number of failures for a certain machine during a month. Its cumulative
distribution function is
F
X
(
x
) =
0
if
x <
0
0
.
17
if 0
≤
x <
1
0
.
40
if 1
≤
x <
2
0
.
59
if 2
≤
x <
3
0
.
72
if 3
≤
x <
4
0
.
80
if 4
≤
x <
5
1
if
x
≥
5
Compute the probability that there will be more than 3 failures during a month.
A. 0.28
B. 0.72
C. 0.20
D. 0.80
E. 0.41
30. [1]
Multiple Choice Question
Let
X
be the number of failures for a certain machine during a month. Its cumulative
distribution function is
F
X
(
x
) =
0
if
x <
0
0
.
17
if 0
≤
x <
1
0
.
40
if 1
≤
x <
2
0
.
59
if 2
≤
x <
3
0
.
72
if 3
≤
x <
4
0
.
80
if 4
≤
x <
5
1
if
x
≥
5
What is the expected number of failures for a month?
A. 2.50
B. 3.00
C. 2.32
D. 11.94
E. none of the above
31. [1]
Multiple Choice Question
Suppose that 10% of the chips produced by a computer hardware factory are defec-
tive. If you order 5 chips, what is the probability of receiving at most one defective chip?
A. 0.9000
B. 0.6561
C. 0.9185
D. 0.3280
E. none of the above
32. [1]
Multiple Choice Question
The lifetime (in 1,000 km) for a certain brand of tire is modeled as a continuous random
variable with the following cumulative distribution function:
F
(
x
) = 1
-
e
-
(
x
-
10)
/
50
,
x >
10. Determine a lifetime
x
(in 1,000 km) that will be exceeded by 60% of the tires.
A. 44.66
B. 50
C. 55.81
D. 35.54
E. none of the above
MAT 2377
Final Exam
-
Page 9 of 37
April 20, 2020
33. [1]
Multiple Choice Question
Suppose that the number of bad cheques received by a bank in one day is a Poisson
random variable with mean
λ
= 3. Determine the probability that the bank will receive
4 bad cheques in 2 days.
A. 0.134
B. 0.058
C. 0.316
D. 0.205
E. none of the above
34. [1]
Multiple Choice Question
Suppose the reaction time at a traffic light that a driver takes to brake is normally
distributed with mean
μ
= 1
.
25 seconds and standard deviation
σ
= 0
.
2 seconds. What
is the probability that the time to react to a red traffic light will be larger than 1.75
seconds?
A. 0.1054
B. 0.2397
C. 0.3456
D. 0.0062
E. 0.0538
35. [1]
Multiple Choice Question
The time (in days) that a surveillance camera will be used is a continuous random
variable
X
with probability density function
f
(
x
) = (10
-
x
)
/
50, for 0
≤
x
≤
10. What
is E[
X
]?
A. 10/3
B. 5
C. 75/3
D. 10
E. none of the preceding
36. [1]
Multiple Choice Question
Let X be a random variable with the following cumulative distribution function:
F
(
x
) =
0
x
≤ -
1
0
.
75
x
-
0
.
25
x
3
+ 0
.
5
-
1
≤
x
≤
1
1
x
≥
1
Compute the mean and the variance of
X
.
A. 0 and 3
B. 1 and 0.2
C. 1 and 3
D. 0 and 0.2
E. none of the preceding
37. [1]
Multiple Choice Question
The cross section of a plastic tube for use in pulmonary resuscitators is normally
distributed with a mean of 12.5mm
2
and a standard deviation of 0.2 mm
2
. When the
cross section is less than 12mm
2
or more than 13 mm
2
, the tube will not be adjusted
properly.
What is the probability that a randomly selected tube will be adjusted
properly?
A. 0.9538
B. 0.9998
C. 0.9890
D. 0.9745
E. 0.9876
MAT 2377
Final Exam
-
Page 10 of 37
April 20, 2020
38. [1]
Multiple Choice Question
Consider the discrete random variables
X
and
Y
with the following joint probability
mass function:
x
y
f
XY
(
x, y
)
-
1
0
1
/
8
0
-
1
1
/
4
0
1
1
/
4
1
0
1
/
8
-
1
1
1
/
8
1
-
1
1
/
8
Compute the covariance Cov(
X, Y
) = E[
XY
]
-
E[
X
]E[
Y
].
A. 7/8
B. 3/8
C. 1/4
D. -1/4
E. none of the preceding
39. [1]
Multiple Choice Question
Consider the discrete random variables
X
and
Y
with the following joint probability
mass function:
x
y
f
XY
(
x, y
)
-
1
0
1
/
8
0
-
1
1
/
4
0
1
1
/
4
1
0
1
/
8
-
1
1
1
/
8
1
-
1
1
/
8
Given that
X
is not negative, what is the probability that
Y
is also not negative?
A. 0.5
B. 0.8
C. 0.4
D. 0.25
E. none of the preceding
40. [1]
Multiple Choice Question
Consider the discrete random variables
X
and
Y
with the following joint probability
mass function:
x
y
f
XY
(
x, y
)
-
1
0
1
/
8
0
-
1
1
/
4
0
1
1
/
4
1
0
1
/
8
-
1
1
1
/
8
1
-
1
1
/
8
What are the mean and the variance of
X
?
A. 0; 0.25
B. 0; 0.5
C. 0.1; 0.5
D. 0.5; 0.5
E. none of the preceding
MAT 2377
Final Exam
-
Page 11 of 37
April 20, 2020
41. [1]
Multiple Choice Question
Consider the discrete random variables
X
and
Y
with the following joint probability
mass function:
x
y
f
XY
(
x, y
)
-
1
0
1
/
8
0
-
1
1
/
4
0
1
1
/
4
1
0
1
/
8
-
1
1
1
/
8
1
-
1
1
/
8
What is
P
(
X
= 1
|
Y
= 0)? Are
X
and
Y
independent?
A. 0; independent B. 1/2; independent C. 1/2; dependent D. 1/8; dependent
E. none of the preceding
42. [1]
Multiple Choice Question
It is known that a particular company produces products of which 30% are defective.
We select items at random and identify it as being defective or not.
Calculate the
probability that the sixth selected item will be the 3rd defective.
A. 0.38282
B. 0.09261
C. 0.24518
D. 0.75494
E. none of the above
43. [1]
Multiple Choice Question
Let
X
1
, . . . , X
7
be a random sample from a population with mean
μ
and variance
σ
2
Consider the following estimators for
μ
:
ˆ
Θ
1
=
X
1
+
· · ·
+
X
7
7
,
ˆ
Θ
2
=
2
X
1
-
X
6
· · ·
+
X
4
2
.
Are these estimators unbiased (i.e. is their expectation equal to
μ
)?
A. Both estimators are unbiased.
B. Both estimators are biased.
C. Only the second is unbiased.
D. Only the first is unbiased.
E. Insufficient information.
44. [1]
Multiple Choice Question
Let
X
1
, . . . , X
7
be a random sample from a population with mean
μ
and variance
σ
2
.
Consider the following estimators for
μ
:
ˆ
Θ
1
=
X
1
+
· · ·
+
X
7
7
,
ˆ
Θ
2
=
2
X
1
-
X
6
· · ·
+
X
4
2
.
Compute the variance of the estimators.
A. V[
ˆ
Θ
1
] =
σ
2
/
7, V[
ˆ
Θ
2
] = 3
σ
2
/
2
B. V[
ˆ
Θ
1
] = 3
σ
2
/
2, V[
ˆ
Θ
2
] = 3
σ
2
/
7
C. V[
ˆ
Θ
1
] =
σ
2
/
49, V[
ˆ
Θ
2
] = 3
σ
2
/
2
D. V[
ˆ
Θ
1
] =
σ
2
/
49, V[
ˆ
Θ
2
] = 3
σ
2
/
2
E. none of the preceding
MAT 2377
Final Exam
-
Page 12 of 37
April 20, 2020
45. [1]
Multiple Choice Question
Here is a random sample for the ignition time (in seconds) for 4 upholstery materials
exposed to heat:
2.58, 2.52, 4.04, 2.20.
Obtain a point estimate for the population
standard deviation
σ
of the ignition time.
A. 0.125
B. 2.835
C. 0.8205
D. 0.6732
E. none of the preceding
46. [1]
Multiple Choice Question
Consider a random sample of size
n
= 15 from a population with mean
μ
= 20 and
standard deviation
σ
= 6.
The sample mean and sample standard deviation are
X
and
S
, respectively. Determine
a
such that
P
X
-
20
S/
√
15
≤
a
= 0
.
05
.
A.
-
1
.
753
B.
-
1
.
761
C. 1
.
753
D. 1
.
761
E.
-
1
.
645
47. [1]
Multiple Choice Question
We measured the compressive strength for
n
= 16 specimens of concrete.
Using
the mean and standard deviation and assuming a normal population, we computed
the following confidence interval [2271
.
7688
,
2308
.
2312].
This interval is a confidence
interval for the mean compressive strength at a level of confidence of 90%. We are told
the the sample mean is
x
= 2290. What is the value of the sample standard deviation
s
?
A. 44.33
B. 41.6
C. 83.2
D. 54.38
E. none of the preceding
48. [1]
Multiple Choice Question
Suppose that
X
1
, . . . , X
81
are independent random variables with probability density
function
f
X
(
x
) = 0
.
5 exp(
-
x/
2),
x >
0. Approximate
P
(
X
1
+
· · ·
+
X
81
>
170).
A. 0.67
B. 0.16
C. 0.33
D. 0.95
E. none of the preceding
49. [1]
Multiple Choice Question
A random sample of size
n
1
= 16 is selected from a normal population with mean 75
and variance 288. A second random sample of size
n
2
= 9 is selected from a normal
population with mean 80 and variance 162.
Assume that the random samples are
independent.
Let
X
1
and
X
2
be the respective sample means.
Find the probability
that
X
1
+
X
2
is larger than 156.5.
A. 0.5987
B. 0.4013
C. 0.6231
D. 0.4235
E. none of the preceding
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MAT 2377
Final Exam
-
Page 13 of 37
April 20, 2020
50. [1]
Multiple Choice Question
A company produces photocopiers.
The mean lifetime of a photocopier is 6 years
and the standard deviation of the lifetime is 2.5 years.
Consider a random sample
of 50 photocopiers.
Approximate the probability that the mean lifetime of these 50
photocopiers will exceed 7 years.
A. 0.0023
B. 0.9977
C. 0.6554
D. 0.3446
E. none of the preceding
51. [1]
Multiple Choice Question
Consider two independent populations with the following means and variances:
μ
1
,
μ
2
,
σ
2
1
,
σ
2
2
. To estimate the difference
θ
=
μ
1
-
μ
2
, we use
ˆ
Θ =
X
-
Y
, where
X
and
Y
are
the sample means from the respective populations, based on samples of sizes
n
1
,
n
2
,
respectively. Which of the following statements is true?
A. E[
ˆ
Θ] =
θ
and Var[
ˆ
Θ] =
σ
2
1
/n
1
+
σ
2
2
/n
2
B. E[
ˆ
Θ]
6
=
θ
and Var[
ˆ
Θ] =
σ
2
1
/n
1
+
σ
2
2
/n
2
C. E[
ˆ
Θ] =
θ
and Var[
ˆ
Θ] =
σ
2
1
/n
1
-
σ
2
2
/n
2
D. E[
ˆ
Θ]
6
=
θ
and Var[
ˆ
Θ] =
σ
2
1
/n
1
-
σ
2
2
/n
2
E. none of the preceding
52. [1]
Multiple Choice Question
The service time at a customer service counter has a mean of 176 seconds with a
variance of 400. A random sample of 100 clients is selected. What is the approximate
probability that the sample mean will fall between 175 and 177 seconds?
A. 0.691
B. 0.383
C. 0.277
D. 0.288
E. none of the preceding
53. [1]
Multiple Choice Question
Assume that the yearly rainfall in Winnipeg is normally distributed with mean 35.4
inches and standard deviation 4.2 inches.
A university student is in Winnipeg for 4
years. Assume that yearly rainfall are independent. Let
D
=
X
1
-
X
4
be the difference
of the rainfall in year 1 and in year 4. Compute the mean and the standard deviation
of
D
, respectively.
A. 0; 8.4
B. 0; 5.9
C. 0; 0
D. -35.4; 5.9
E. -35.4; 8.4
MAT 2377
Final Exam
-
Page 14 of 37
April 20, 2020
54. [1]
Multiple Choice Question
A sample of 20 fish are captured in lake
A
and their concentrations of polychlorinated
biphenyl are measured using a certain technique. Furthermore, 15 fish are captured in
lake
B
and and their concentrations of polychlorinated biphenyl are measured.
The
data (in parts per million) are summarized as follows:
Lake
A
Lake
B
mean
12.42
12.50
standard deviation
1.167
1.141
sample size
20
15
Boxplots are constructed for each lake:
Is it reasonable to assume that
A. the populations are normal with equal variances
B. the populations are normal with unequal variances
C. only one of the populations is normal
D. the populations are not normal
E. none of the preceding
MAT 2377
Final Exam
-
Page 15 of 37
April 20, 2020
55. [1]
Multiple Choice Question
Suppose that we want to compare the waiting times between repairs of two systems (in
days),
S
1
and
S
2
. Here are histograms of the waiting times:
Is it reasonable to assume that
A. the populations are normal with equal variances
B. the populations are normal with unequal variances
C. the populations are not normal
D. only one of the populations is normal
E. none of the preceding
MAT 2377
Final Exam
-
Page 16 of 37
April 20, 2020
56. [1]
Multiple Choice Question
Consider the following boxplots:
It appears that the disperson of
A. the first sample is the largest
B. the second sample is the largest
C. the first and second sample is the same
D. both samples cannot be compared
E. none of the preceding
57. [1]
Multiple Choice Question
Consider the following random sample: 16, 13, 10, 17, 16, 14, 5, 12, 15, 8. Calculate
the first quartile (choose the best answer).
A. 9.5
B. 7.5
C. 10.5
D. 0.25
E. 11
58. [1]
Multiple Choice Question
Consider the following sample: 16, 13, 10, 17, 16, 14, 5, 12, 15, 8, 9, 10, 15, 22, 8.
Calculate the mean and median of the sample, respectively.
A. 11.67; 12.5
B. 190.0; 13
C. 12.667; 12.5
D. 12.667; 13
E. none of the preceding
59. [1]
Multiple Choice Question
Consider the following sample: 16, 13, 10, 17, 16, 14, 5, 12, 15, 8, 9, 10, 15, 22, 8.
Calculate the variance and interquartile range of the sample, respectively.
A. 19.38; 7
B. 15.7; 7
C. 4.40; 7
D. 19.38; 7.5
E. 19.38; 6.5
60. [1]
Multiple Choice Question
Consider the following random sample:
5, 34, 12, 10, 4.
Calculate the mean and
variance of the sample, respectively.
A. 13; 149
B. 13; 119.2
C. 12; 119.2
D. 13; 12.2
E. none of the preceding
MAT 2377
Final Exam
-
Page 17 of 37
April 20, 2020
61. [1]
Multiple Choice Question
Here are the waiting times (in minutes) for a bus for a particular person on 5 consec-
utive working days: 10, 1, 13, 9, 5 (presumably this was not happening in Ottawa...)
Compute the mean and the variance of the sample, respectively.
A. 7.6; 15.5
B. 7.6, 21.8
C. 6.9, 21.8
D. 6.9, 15.5
E. none of the preceding
62. [1]
Multiple Choice Question
The city of Ottawa would like to know how many people are in favour of a property
tax increase. Among 1000 residents, 300 replied ”yes, I am in favour of a property tax
increase.” Determine a 95% confidence interval for the proportion of people that are in
favour of a property tax increase.
A. [0.202,0.254]
B. [0.197,0.259]
C. [0.194,0.262]
D. [0.272,0.328]
E. none of the above
63. [1]
Multiple Choice Question
A machine produces cylindrical metal pieces.
A random sample of the pieces yields
diameters
1
.
01
,
0
.
97
,
1
.
03
,
1
.
04
,
0
.
99
,
0
.
98
,
0
.
99
,
1
.
04
,
1
.
03
,
1
.
01
.
Determine a 99% confidence interval for the mean diameter.
You may assume the
diameters are normally distributed.
A. [0.989, 1.022]
B. [0.983, 1.035]
C. [0.991, 1.034]
D. [0.987, 0.024]
E. none of the above
64. [1]
Multiple Choice Question
In a random sample of 100 houses in Halifax, 23 are heated by electricity. Construct
a 90% confidence interval for the proportion of houses in Halifax that are heated by
electricity.
A. [0.1608, 0.2992]
B. [0.1508, 0.2992]
C. [0.0, 1.0]
D. [0.1608, 0.3145]
E. none of the above
65. [1]
Multiple Choice Question
An engineer measures the weight of steel pieces. The weights follow a normal distribu-
tion with known variance
σ
2
= 16. The engineer wants to be 95% confident that the
maximal error is at most
E
= 0
.
2 when estimating the mean. Determine the required
sample size.
A. 25
B. 1537
C. 423
D. 1083
E. none of the above
MAT 2377
Final Exam
-
Page 18 of 37
April 20, 2020
66. [1]
Multiple Choice Question
A machine produces metal pieces which are cylindrical in shape. We select a sample of
nine pieces and measure the diameters:
1
.
01
,
0
.
97
,
1
.
03
,
1
.
04
,
0
.
99
,
0
.
98
,
0
.
99
,
1
.
01
,
1
.
03
The sample and sample standard deviation are
x
= 1
.
00556 and
s
= 0
.
02455, respec-
tively.
Give a 95% confidence interval for the true mean diameter, assume that the
population is normal.
A. [0.989,1.022]
B. [0.978,1.033]
C. [0.991,1.034]
D. [0.987,1.024]
E. none of the preceding
67. [1]
Multiple Choice Question
Previous experience has shown that the fracture resistance of a wire used in the
manufacture of drapery is normally distributed with
σ
2
= 2. A random sample of 25
specimens have been examined and they yielded a mean resistance of
x
= 98 psi. Give
a 95% confidence interval for the mean resistance.
A. [97.216,98.784]
B. [97.216,98.554]
C. [97.456,98.784]
D. [97.446,98.554]
E. none of the preceding
68. [1]
Multiple Choice Question
An expert wishes to determine the average time (in seconds) required to drill holes
in some metal flange. Determine the required sample size to be 99% certain that the
sample mean will be within 15 seconds of the true average, assuming that the standard
deviation of the time is
σ
= 30 seconds.
A. 26
B. 27
C. 28
D. 29
E. none of the preceding
69. [1]
Multiple Choice Question
Let
X
equal the excess weight of a ”1000 grams” bottle of soap. Assume that
X
follows
a normal distribution with variance 169g
2
. What sample size is required to have a level
of confidence of 95% that the maximum error of the estimate of the mean of the excess
weight is less than 1.5g?
A. 302
B. 287
C. 289
D. 301
E. 288
70. [1]
Multiple Choice Question
Consider the observations of two different populations. The data collected have sample
sizes
n
1
= 25 and
n
2
= 29. The mean of sample 1 is 18 and the mean of sample 2 is 16.
Furthermore, the sample standard deviations are
s
1
= 5 and
s
2
= 6. For these data,
the estimated standard error of the difference of the two means is:
A. 11
B. 0.4
C. 1.5
D. 61
E. none of the preceding
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MAT 2377
Final Exam
-
Page 19 of 37
April 20, 2020
71. [1]
Multiple Choice Question
Previous experience has shown that the breaking strength of the fabric used in a
certain brand of drapes is normally distributed with a standard deviation of 2 pounds
per square inch.
A random sample of 9 specimens is examined to reveal an average
breaking strength of
x
= 98 pounds per square inch. Determine the
p
-
value required
to test the hypothesis that the true mean exceeds 97.
A. 0.067
B. 0.012
C. 0.13
D. 0.006
E. none of the preceding
72. [1]
Multiple Choice Question
Previous experience has shown that the breaking strength of the fabric used in a
certain brand of drapes is normally distributed with a standard deviation of 2 pounds
per square inch.
A random sample of 9 specimens is examined to reveal an average
breaking strength of
x
= 98 pounds per square inch. Determine the
p
-
value required
to test the hypothesis that the true mean is not 97.
A. 0.067
B. 0.012
C. 0.13
D. 0.006
E. none of the preceding
73. [1]
Multiple Choice Question
Previous experience has shown that the breaking strength of the fabric used in a
certain brand of drapes is normally distributed with a standard deviation of 2 pounds
per square inch. A random sample of 25 specimens is examined to reveal an average
breaking strength of
x
= 98 pounds per square inch. Determine the
p
-
value required
to test the hypothesis that the true mean is not 97.
A. 0.067
B. 0.012
C. 0.13
D. 0.006
E. none of the preceding
74. [1]
Multiple Choice Question
Previous experience has shown that the breaking strength of the fabric used in a certain
brand of drapes is normally distributed with with a mean of 97 pounds per square inch.
A random sample of 9 specimens is examined to reveal an average breaking strength of
x
= 98 pounds per square inch and a standard deviation of 2 pounds per square inch
are observed. The
p
-
value to test the hypothesis that the true mean is not 97 is between
A. (0.05,0.1)
B. (0.1,0.2)
C. (0.025,0.05)
D. [0,0.025)
E. none of the preceding
75. [1]
Multiple Choice Question
A new treatment has been developed for a certain type of cement, resulting in a mean
pressure resistance of 5000kg/cm
2
and a standard deviation of 130kg/cm
2
.
To verify
the null hypothesis of
μ
= 5000 against the alternative of
μ <
5000, a random sample
of 50 pieces of cement are examined. Determine the probability of committing a Type
II error if
μ
= 4960 and
α
= 0
.
05.
A. 0.298
B. 0.954
C. 0.082
D. 0.105
E. none of the preceding
MAT 2377
Final Exam
-
Page 20 of 37
April 20, 2020
76. [1]
Multiple Choice Question
An engineer measures the weights (in kilograms) of steel pieces.
They would like to
test
H
0
:
μ
= 5 against
H
1
:
μ >
5.
The weights follow a normal distribution with
variance 16. Using a sample of size
n
= 25, the engineer decides to reject
H
0
if
x >
6.
Determine the probability of committing an error of Type I error.
A. 0.0500
B. 0.1057
C. 0.8943
D. 0.1000
E. none of the preceding
77. [1]
Multiple Choice Question
An engineer measures the weights (in kilograms) of steel pieces. They would like to test
H
0
:
μ
= 5 against
H
1
:
μ >
5. The weights follow a normal distribution with variance
16. Using a sample of size
n
= 25, the engineer decides to reject
H
0
if
x >
6. Assuming
that the true population mean is 5.2, determine the probability of committing an error
of Type II error.
A. 0.8413
B. 0.05
C. 0.9332
D. 0.8943
E. none of the preceding
78. [1]
True or False Question
A new treatment has been developed for a certain type of cement.
To test the null
hypothesis that
μ
= 5000 against the alternative that
μ
6
= 5000, where
μ
is the mean
resistance in kg/cm
2
, a sample of 50 samples of cement is examined and we observe
x
= 4775 and
s
= 130. At
α
= 0
.
05, the evidence against the null hypothesis in favour
of the alternative hypothesis is significant.
True
False
79. [1]
True or False Question
An engineer measures the weights (in kilograms) of steel pieces.
They would like to
test
H
0
:
μ
= 5 against
H
1
:
μ >
5. The weight of a steel piece is normally distributed.
They select a random sample size of
n
= 25 steel pieces, and compute
x
= 6
.
7 and
s
= 2
.
37. We cannot conclude that the mean weight is larger than 5 kg at a level of
significance of 1%.
True
False
80. [1]
True or False Question
In order to establish a control chart for the mean of a process, 20 samples each of size 4
are collected. We note that
∑
20
i
=1
x
i
= 4000 and
∑
20
i
=1
s
i
= 500. The value of the lower
control limit of the chart for the mean is approximately equal to 195.5.
True
False
81. [1]
True or False Question
In order to establish a control chart for the mean of a process, 20 samples each of size 4
are collected. We note that
∑
20
i
=1
x
i
= 4000 and
∑
20
i
=1
s
i
= 500. The value of the lower
control limit of the chart for the mean is approximately equal to 183.
True
False
MAT 2377
Final Exam
-
Page 21 of 37
April 20, 2020
82. [1]
True or False Question
In order to establish a control chart for the mean of a process, 20 samples each of size 4
are collected. We note that
∑
20
i
=1
x
i
= 4000 and
∑
20
i
=1
s
i
= 500. The value of the upper
control limit of the chart for the mean is approximately equal to 217.
True
False
83. [1]
True or False Question
The length of time in minutes between consecutive calls to 911 in a small city has density
f
(
x
) =
1
20
e
-
x/
20
0
< x <
∞
0
otherwise
The probability that the time between consecutive calls is greater than 20 minutes is
thus 1
/e
.
True
False
84. [1]
True or False Question
A boiler has 4 relief valves which operate independently.
The probability that each
opens properly is 0
.
99.
The probability that at least one opens properly is thus
1
-
(0
.
99)
4
.
True
False
85. [1]
True or False Question
In order to establish a control chart for the mean of a process, 20 samples each of size 4
are collected. We note that
∑
20
i
=1
x
i
= 4000 and
∑
20
i
=1
s
i
= 500. The value of the upper
control limit of the chart for the mean is approximately equal to 204.5.
True
False
86. [1]
True or False Question
A random sample of 100 urban residents reveals that 50 believe in angels whereas in a
random sample of 100 rural residents it is found that 65 believe in angels. We test the
null hypothesis that the percentage of urban and rural residents who believe in angels
is the same against the alternative that it is higher for rural residents. Based on this
data, the corresponding test statistic is 2
.
165 and we reject the null hypothesis at a
significance level
α
= 10%.
True
False
MAT 2377
Final Exam
-
Page 22 of 37
April 20, 2020
87. [1]
True or False Question
The percentage of males in 1986 who are 18-19 years old and married was 3
.
7%.
To
test whether or not this percentage had increased in 2015, a random sample of 300
males aged 18-19 was taken; 20 of which were married.
Using a level of significance
of
α
= 0
.
05, we test the hypothesis
H
0
that the proportion that is married is 3
.
7%
against the alternative that it is larger. Based on the data, the observed value of the
corresponding test statistic is 2
.
722 and we reject
H
0
.
True
False
88. [1]
True or False Question
A postmix beverage machine is adjusted to release a certain amount of syrup into a
chamber where it is mixed with carbonated water. A random sample of 25 beverages
was found to have a mean syrup content of 1
.
05 fluid ounces and a standard deviation of
0.15 fluid ounces. Assume that the syrup content of a beverage is normally distributed.
Then, to check the claim that the syrup content per beverage is about one ounce, we
use the following test
H
0
:
μ
= 1
against
H
1
:
μ
6
= 1
.
Based on the samples, the
p
-
value for the test is less than 0
.
05.
True
False
89. [1]
True or False Question
A candy maker produces mints whose weight follows a normal distribution with mean
21
.
37g and standard deviation 0
.
4g. Suppose 15 mints are selected at random. Let
Y
be
the number of mints among them that weigh less than 20
.
857g. Then,
P
(
Y
≤
2) = 0
.
816.
True
False
90. [1]
True or False Question
Students on a boat have 9 flags to arrange on a pole. There are 3 red, 4 yellow and
2 blue flags. Flags of the same colour are indistinguishable. A total of 1524 different
signals can be sent by arranging all the 9 flags on the pole.
True
False
91. [1]
True or False Question
Let
X, Y
be independent random variables with E[
X
] = E[
Y
] = 0 and
σ
X
=
σ
Y
= 5.
Then Var(
2
X
+3
Y
5
) = 1.
True
False
MAT 2377
Final Exam
-
Page 23 of 37
April 20, 2020
92. [1]
True or False Question
Let
X
and
Y
be random variables with joint density function
f
(
x, y
) =
6
y
0
< y
≤
x <
1
0
otherwise
The marginal density of
Y
is
f
Y
(
y
) = 3
y
(1
-
y
), for 0
< y <
1.
True
False
93. [1]
True or False Question
The University of Ottawa is interested in offering its employees one of two employee
benefit packages. A random sample of the university’s employees is collected, and each
person in the sample is asked to rate each of the two packages on an overall preference
scale of 0 to 100. The results are
package A:
45, 67, 63, 50, 77, 60, 47, 39, 56, 68, 70
package B:
56, 79, 60, 45, 85, 39, 50, 41, 50, 69, 82
After analyzing the data,
the University concludes that its employees prefer,
on
average, one package over the other, i.e., there is a significant difference between the
two packages, at significance level
α
= 0
.
05.
True
False
94. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 95% confidence interval for the slope of the line of best fit?
95. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 95% confidence interval for the intercept of the line of best
fit?
MAT 2377
Final Exam
-
Page 24 of 37
April 20, 2020
96. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 99% confidence interval for the slope of the line of best fit?
97. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 99% confidence interval for the intercept of the line of best
fit?
98. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 95% confidence interval for the mean response at
x
0
= 60?
99. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 95% confidence interval for the mean response at
x
0
= 90?
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MAT 2377
Final Exam
-
Page 25 of 37
April 20, 2020
100. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 99% confidence interval for the mean response at
x
0
= 90?
101. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 99% confidence interval for the mean response at
x
0
= 90?
102. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 95% prediction interval for the response
y
0
at
x
0
= 60?
103. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 95% prediction interval for the response
y
0
at
x
0
= 90?
MAT 2377
Final Exam
-
Page 26 of 37
April 20, 2020
104. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 99% prediction interval for the response
y
0
at
x
0
= 60?
105. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is an approximate 99% prediction interval for the response
y
0
at
x
0
= 90?
106. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is the mean squared error estimate for the variance of the residuals?
107. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is the line of best fit for this data?
MAT 2377
Final Exam
-
Page 27 of 37
April 20, 2020
108. [2]
Short Answer Question
We have a dataset with
n
= 10 pairs of observations (
x
i
, y
i
), and
n
X
i
=1
x
i
= 683
,
n
X
i
=1
y
i
= 813
,
n
X
i
=1
x
2
i
= 47
,
405
,
n
X
i
=1
x
i
y
i
= 56
,
089
,
n
X
i
=1
y
2
i
= 66
,
731
.
What is the coefficient of correlation for this data?
109. [2]
Short Answer Question
We have
m
= 5 preliminary samples of size
n
= 3 (some numbers have unfortunately
been erased by accident by a clumsy co-op student):
i
x
i,
1
x
i,
2
x
i,
3
¯
x
i
r
i
s
i
1
27.1
29.4
27.9
1.3
2
30.6
32.5
32.4
31.83
1.9
1.07
3
25.7
35.5
30
30.4
4.91
4
31.1
23.2
25
26.43
7.9
5
24.1
34.2
27.4
28.57
10.1
5.15
total:
145.13
32
16.57
What is the control chart (give the interval) for
X
from
R
?
110. [2]
Short Answer Question
We have
m
= 5 preliminary samples of size
n
= 3 (some numbers have unfortunately
been erased by accident by a clumsy co-op student):
i
x
i,
1
x
i,
2
x
i,
3
¯
x
i
r
i
s
i
1
27.1
29.4
27.9
1.3
2
30.6
32.5
32.4
31.83
1.9
1.07
3
25.7
35.5
30
30.4
4.91
4
31.1
23.2
25
26.43
7.9
5
24.1
34.2
27.4
28.57
10.1
5.15
total:
145.13
32
16.57
What is the control chart (give the interval) for
X
from
S
?