Download Probability_Review_Answer_Keys

A.P. Statistics
Probability Review
1. What is the sample space when two fair dice are rolled?
S = {1,1 1,2 1,3 1,4 1,5, 1,6 2,1 2,2 2,3 2,4 2,5 2,6 3,1 3,2 3,3 3,4 3,5 3,6
4,1 4,2 4,3 4,4 4,5 4,6 5,1 5,2 5,3 5,4 5,5 5,6 6,1 6,2 6,3 6,4 6,5 6,6}
2. Roll a die twice. Observe the numbers landed on.
P(5,5) =
a) What is the probability of observing two 5’s?
1
36
b) What is the probability of observing at least one 5?
P( A) =
A = {1,5 2,5 3,5 4,5 5,1 5,2 5,3 5,4 5,5 5,6, 6,5}
11
36
c) What is the probability of observing exactly one 5?
P( B) =
B = {1,5 2,5 3,5 4,5 5,1 5,2 5,3 5,4 5,6 6,5}
10
36
3. Let P(A) = 0.5, P(B) = 0.7, P(A and B) = 0.4, find the probability that
0.2
A
0.1
0.4
B
0.3
a) Either A or B will occur
b) Neither A nor B will occur
P ( A or B ) = 0.8
(
)
P ( A or B ) = 0.2
c
c) A will occur, and B does not occur
P ( A and B c ) = 0.1
d) A will occur, given that B has occurred
P ( A | B) =
e) A will occur, given that B has not occurred
0.4
≈ 0.5714
0.7
P ( A | Bc ) =
0.1
≈ 0.3333
0.3
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A.P. Statistics
4. A coin is flipped three times. Event A consists of observing exactly 2 heads. Event B consists
of observing one or more tails.
a) List the members of event A.
A = {HHT, HTH, THH}
b) List the members of event B.
B = { HHT, HTH, THH, TTH, THT, HTT, TTT}
c) Find the union of event A and event B.
A or B = {HHT, HTH, THH, TTH, THT, HTT, TTT }
d) Find the intersection of event A and event B.
3
P ( A ∩ B) 8 3
P ( A | B) =
=
= ≈ 0.4286
7 7
P ( B)
8
e) Find P(A|B)
5. Let P ( A ∩ B ) =
A and B = { HHT, HTH, THH }
P ( Ac ∩ B ) =
3
6
P ( A ∩ Bc ) =
1
6
1
6
a) Draw and label a Venn Diagram for events A and B.
Deleted: <sp><sp><sp><sp><sp>
<sp>
1
6
A
3
6
1
6
(
c
(
c
b) P A ∩ B
c) P A ∪ B
c
c
1
6
B
) = 16
) = 63
d) Are A and B mutually exclusive (disjoint)? NO
e) Are A and B independent? NO
6. A player rolls two dice. The players receive $1.00 for each dot on the face of the two dice.
For example, he will be paid $9.00 if the dice show a 4 and a 5. Let X = the number of dollars
won each game.
a) Is X a discrete or continuous random variable?
discrete
b) Show the probability distribution of X.
X
2
3
4
5
6
7
8
9
10
11
12
P(X)
1
36
2
36
3
36
4
36
5
36
6
36
5
36
4
36
3
36
2
36
1
36
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A.P. Statistics
c) Find the expected value of X.
E(X) =
2 6 12 20 30 42 40 36 30 22 12 252
+
+
+
+
+
+
+
+
+
+
=
=7
36 36 36 36 36 36 36 36 36 36 36
36
d) Find the variance of the pay off.
σ X2 ≈ 5.8333
7. Roll two dice and observe the sum. Define the events as follows:
A = {the value is even}
B = {the value is odd}
C = {the value is less than 6}
D = {the value is greater than or equal to 6}
a) Write the sample space for the observed sum.
{ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }
b) Write the probability distribution for the observed sum.
X
2
3
4
5
6
7
8
9
10
11
12
px
1
36
2
36
3
36
4
36
5
36
6
36
5
36
4
36
3
36
2
36
1
36
c) Are events A and C mutually exclusive (disjoint)? NO
d) Are events A and C independent? NO
e) Find A ∪ C
f)
{ 2, 3, 4, 5, 6, 8, 10, 12 }
Calculate P ( A ∪ C )
g) Find
1 2 3 4 5 5 3 1
24
+
+
+
+
+
+
+
=
≈ 0.6667
36 36 36 36 36 36 36 36 36
B ∪ D { 3, 5, 6, 7, 8, 9, 10, 11, 12 }
h) Calculate P ( B ∪ D )
2 4 5 6 5 4 3 2 1
32
+
+
+
+
+
+
+
+
=
≈ 0.8889
36 36 36 36 36 36 36 36 36 36
8. Let X = the actual weight of a 2-lb. bag of rice. The mean amount of rice is 32 ounces, with
standard deviation is 0.25 ounces.
a) Is X a discrete or continuous variable? continuous
b) What percentage of the population will be within 31.5 and 32.5 ounces?
c)
32.5 − 32 ⎞
⎛ 31.5 − 32
P ( 31.5 ≤ X ≤ 32.5 ) = P ⎜
≤Z ≤
⎟ ≈ 0.9545
0.25 ⎠
⎝ 0.25
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A.P. Statistics
9. A researcher surveyed students majoring in business and asked what type of car they own.
Bought New
Bought Used
TOTAL
Male
21
32
53
Female
44
15
59
TOTAL
65
47
112
a) What is the probability that a female student purchased a new car?
32
≈ 0.2857
112
b) What is the probability that a male student purchased a used car?
c) What is the probability that a student purchased a new car?
d) What is the probability that a student is female?
44
≈ 0.3929
112
65
≈ 0.5804
112
59
≈ 0.5268
112
e) Given that a student is female what is the probability that she purchased a used car?
15
≈ 0.2542
59
f)
Given that a car is new what is the probability that the owner is a male?
21
≈ 0.3231
65
10. A new detergent is found to remove excess dirt and stains satisfactorily on 88% of the items
washed. Assume that 3 items are to be washed with the new detergent.
a) What is the probability of satisfactory results on all 3 items?
( 0.88)
3
≈ 0.6814
b) What is the probability that exactly two items are cleaned satisfactorily?
3* ( 0.88 ) ( 0.12 ) ≈ 0.2788
2
c) What is the probability that none are cleaned satisfactorily? ( 0.12 ) ≈ 0.0017
3
11. Given three outcomes E1, E2, and E3 with probabilities P(E1) = 0.05, P(E2) = 0.55, and P(E3) = 0.4
Let event A={E1,E3}, and B={E2, E3}
a) Find the probability of A union B. P ( A ∪ B ) = 1
b) Find the probability of A intersect B. P ( A ∩ B ) = 0.4
c) Find the probability of A given B.
P ( A | B ) ≈ 0.4211
d) Find the probability of B given A.
P ( B | A ) ≈ 0.8889
e) Are A and B independent? NO
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A.P. Statistics
12. For an interstellar space truck stop the probability that the owner comes from the planet
Orkbak is 0.62. Of the Orkbakians, 88% are giants. What is the probability that the owner of a
randomly chosen interstellar truckstop is an Orkbakian giant?
Event A = Orkbakian
P ( A ) = 0.62
Event B = giant
P ( B | A ) = 0.88
P ( A ∩ B ) = P ( B | A ) * P ( A ) = 0.5456
13. Three friends are trying to decide who gets the last doughnut. They decide on the following
scheme: each will flip a fair coin and whoever gets the unique result will win the doughnut (if
the result is HTT then the first wins; if the result is HTH then the second wins). If all come out the
same, they will feed the doughnut to the birds.
a) What are the probabilities of each one winning?
Friend
1
2
3
THH or HTT
THT or HTH
TTH or HTT
0.25
0.25
0.25
b) What is the probability that the birds get it? P(HHH or TTT) = 0.25
14. A study found that on a given day 72% of women and 46% of men made their beds. In the
U.S. women comprise 52% of adults. Find the following:
Men
0.48
Women
0.52
Made|man
0.46
Man and made
0.2208
Unmade|man
0.54
Man and unmade
0.2592
Made|woman
0.72
Woman and made
0.3744
Unmade|woman
0.28
Woman and unmade
0.1456
a) The percentage of all adults who are men and made their beds. 0.2208
b) The percentage of all adults who are women and made their beds. 0.3744
c) The percentage of all adults who made their beds. 0.5952
d) If a person has made their bed, what is the probability that that person is a woman?
0.6290
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A.P. Statistics
15. You can insure a $25,000 diamond for its total value by paying a premium of C dollars. If the
probability of theft in a given year is 0.20, what premium should the insurance company
charge if it wants the expected gain to be equal to $1000?
X: profit
C – $25,000
C - $0
P(X)
0.20
0.80
(C – 25,000)(0.20) + (C – 0)(0.80) = 1000
0.20C – 5000 + 0.80C = 1000
C – 5000 = 1000
C = 6000
They should charge a premium of $6000 if they want the expected gain to be $1000.
16. Microcomputers are shipped to the University bookstore from three factories A, B, and C.
You know that factory A produces 20% defective microcomputers, whereas B produces 10%
defectives and C only 5% defectives. The manager in the store receives a new shipment of
microcomputers and discovers that 40% are from factory C, 40% are from factory B, and 20%
are from factory A. (Hint: make a tree diagram)
A
0.20
B
0.40
C
0.40
defective|A
0.20
A and defective
0.04
Not defective|A
0.80
A and not defective
0.16
defective|B
0.10
B and defective
0.04
Not defective|B
0.90
B and not defective
0.36
defective|C
0.05
C and defective
0.02
Not defective|C
0.95
C and not defective
0.38
a) What is the probabilities of finding a defective microcomputer in this shipment? 0.10
Page 6 of 7
A.P. Statistics
b) Are the events “microcomputer comes from factory A” and “microcomputer comes
from factory B” mutually exclusive? Are they independent? YES, mutually exclusive
but NO, not independent
c) Suppose the manager randomly selects one microcomputer, and discovers that it is
defective. What is the probability that it came from factory A? 0.4
17. Let X be a discrete random variable with probabiltiy distribution:
X
p(x)
a) Find P ( X = 2 ) . 0.4
1
.15
b) Find P ( X ≤ 2 ) . 0.55
2
.40
3
.10
4
.35
c) Find P ( X < 2 ) 0.15
d) Find P ( 2 ≤ X ≤ 4 ) 0.85
18. Let X be a discrete random variable with probabiltiy distribution:
X
p(x)
1
.10
2
.45
3
.15
4
.25
a) Does this assignment define a proper probability distribution?
Explain. No, since the probabilities do not sum to 1.
19. Investing $100 in a project will yield a net return of $16, $20 or $26 with respective
probabilities 0.3, 0.5 and 0.2. Let X be the random variable that represents the net return.
a) Write down the probability distribution of the variable X.
X
16
20
26
P(X)
0.3
0.5
0.2
b) Find the expected return for the project, and the standard deviation.
E(X) = 16(0.3) + 20(0.5) + 26(0.2) = 20
σX =
(16 − 20 ) ( 0.3) + ( 20 − 20 ) ( 0.5 ) + ( 26 − 20 ) ( 0.2 ) = 3.4641
2
2
2
c) Define Y = 3X + 2. Specify the probability distribution of Y.
Y
50
62
80
P(Y)
0.3
0.5
0.2
Page 7 of 7
A.P. Statistics
Probability Review
1. What is the sample space when four fair coins are tossed?
S = { HHHH, HHHT, HHTH, HHTT, HTHH, HTHT, HTTH, HTTT, THHH, THHT, THTH, THTT, TTHH, TTHT, TTTH, TTTT }
2. Flip a coin four times. Observe whether it lands on heads or tails.
a) What is the probability of observing four heads? 0.0625
b) What is the probability of observing at least one head? 0.9375
c) What is the probability of observing exactly one head? 0.25
3. For a family living in Southern Mississippi, the probability of owning a dog is 0.4, the probability
of owning a cat is 0.5, and the probability of owning both a cat and a dog is 0.12.
a) Use a Venn Diagram to show the Union of the two events.
0.22
A: DOG
B: CAT
0.28
0.12
0.38
b) Use a Venn Diagram to show the Intersection of the two events.
0.22
A: DOG
B: CAT
0.28
0.12
0.38
c) What is the probability that a family living in Southern Mississippi does not own a dog?
P(Ac) = 0.6
d) What is the probability that a family living in Southern Mississippi owns a cat or a dog?
P(A or B) = 0.78
e) What is the probability that a family living in Southern Mississippi owns neither a cat
nor a dog?
f)
P(A or B)c = 0.22
Are events A and B independent? NO
g) Are events A and B mutually exclusive (disjoint)?
NO
Page 1 of 7
A.P. Statistics
4. Roll a die. Let S = {1, 2, 3, 4, 5, 6 }
Let event A={ 1, 2, 3, 4 } and event B= { 2, 3, 4, 5, 6 }. Find the following:
a) Members of the set
b) P ( A ∩ B ) =
A∩ B
3
= 0.5
6
c) Members of the set A ∩ B
d)
P ( A ∩ Bc ) =
P ( Ac ∩ B ) =
{1}
Ac ∩ B
{ 5, 6 }
2
≈ 0.333
6
g) Members of the set
h)
c
1
≈ 0.1666
6
e) Members of the set
f)
{ 2, 3, 4 }
Ac ∩ B c
{ ∅ }
P ( Ac ∩ B c ) = 0
5. Draw and label each of the following on a Venn Diagram:
a)
( A ∩ B)
b)
(A
c)
( A∩ B )
c
∩ B)
c
6. A player rolls two dice. The players receive $1.00 for each dot on the face of the two dice.
For example, he will be paid $9.00 if the dice show a 4 and a 5. Let X = the number of dollars
won each game.
a) Is X a discrete or continuous random variable? discrete
b) Show the probability distribution of X.
X
$2
$3
$4
$5
$6
$7
$8
$9
$10
$11
$12
P(X)
1
36
2
36
3
36
4
36
5
36
6
36
5
36
4
36
3
36
2
36
1
36
c) Find the expected value of X.
E(X) =
2 6 12 20 30 42 40 36 30 22 12 252
+
+
+
+
+
+
+
+
+
+
=
=7
36 36 36 36 36 36 36 36 36 36 36
36
d) Find the variance of the pay off.
σ X2 ≈ 5.8333
Page 2 of 7
A.P. Statistics
7. Roll two dice and observe the sum. Define the events as follows:
A = {the value is even}
B = {the value is odd}
C = {the value is less than 6}
D = {the value is greater than or equal to 6}
a) Write the sample space for the observed sum. S = { 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }
b) Write the probability distribution for the observed sum.
X
2
3
4
5
6
7
8
9
10
11
12
P(X)
1
36
2
36
3
36
4
36
5
36
6
36
5
36
4
36
3
36
2
36
1
36
c) Are events A and B mutually exclusive (disjoint)? YES
d) Are events A and B independent? NO
e) Find A ∪ D
f)
{ 2, 4, 6, 7, 8, 9, 10, 11, 12 }
Calculate P ( A ∪ D )
g) Find B ∪ C
1 − P(3 or 5) = 1 −
6 30 5
=
= ≈ 0.8333
36 36 6
{ 2, 3, 4, 5, 7, 9, 11 }
h) Calculate P ( B ∪ C )
1
2
3
4
6
4
2
22 11
+
+
+
+
+
+
=
= ≈ 0.6111
36 36 36 36 36 36 36 36 18
8. A packaging company distributes quarter-pound beef patties to local fast-food restaurants.
The restaurants demand the weights to be 4.000 ± 0.02 ounces. If the patties are too small,
the customers will complain, and if they are too big, there will be too few of them in a box
and the business will lose money. If the standard deviation of the patties is 0.009, what
percentage of the patties will not meet the expectation?
1 – normalcdf ( 3.98, 4.02, 4, .009) = 1 – 0.97373 = 0.02626
9. The probability that the space shuttle is launched on the designated day is 80%. Assume that
shuttle launches are independent from each other. Suppose four launches are scheduled in
the next three months.
a) What is the probability that each one is launched on the designated day?
( 0.8)
4
= 0.4096
b) What is the probability that exactly one is launched on the designated day?
4 ( 0.8 )( 0.2 ) = 0.0256
3
c) What is the probability that the first two are launched on the designated day, but the
last two are not?
( 0.8) ( 0.2 )
2
2
= 0.0256
Page 3 of 7
A.P. Statistics
10. A researcher surveyed students majoring in business and asked what type of car they own.
Bought New
Bought Used
TOTAL
Male
15
32
47
Female
44
12
56
TOTAL
59
44
103
a) What is the probability that a female student purchased a new car?
b) What is the probability that a male student purchased a used car?
c) What is the probability that a student purchased a new car?
d) What is the probability that a student is female?
44
≈ 0.4272
103
32
≈ 0.3107
103
59
≈ 0.5728
103
56
≈ 0.5437
103
e) Given that a student is female what is the probability that she purchased a used car?
12
≈ 0.2143
56
f)
Given that a car is new what is the probability that the owner is a male?
15
≈ 0.2542
59
11. It is estimated that 22% of the households in America are headed by a single adult. Out of
these single adult households, 21% are headed by men. What percent of American
households are headed by single men?
A: headed by single adult
P(A) = 0.22
B: headed by men
P(B|A) = 0.21
P(A and B) = (0.22)(0.21) = 0.0462
12. A craftsperson makes stuffed animals for sale. Eighty-five percent of the animals she makes
are bears while the remaining 15% are rabbits. Suppose she sells 75% of her bears at craft
shows but only 50% of her rabbits are sold at craft shows. What proportion of her animals
does she sell at craft shows? (Hint: use a tree diagram)
Bears
0.85
Sold|bear
0.75
Sold and bear
0.6375
Not sold|bear
0.25
Not sold and bear
0.2125
Page 4 of 7
A.P. Statistics
Rabbits
0.15
Sold|rabbit
0.50
Sold and rabbit
0.075
Not sold|rabbit
0.50
Not sold and rabbit
0.075
She sells 71.25% of her animals at craft shows.
13. Three friends are trying to decide who gets the last doughnut. They decide on the following
scheme: each will flip a fair coin and whoever gets the unique result will win the doughnut (if
the result is HTT then the first wins; if the result is HTH then the second wins). If all come out the
same, they will feed the doughnut to the birds.
a) What are the probabilities of each one winning?
Friend
1
2
3
THH or HTT
THT or HTH
TTH or HTT
0.25
0.25
0.25
b) What is the probability that the birds get it? P(HHH or TTT) = 0.25
14. A study found that on a given day 76% of women and 46% of men made their beds. In the
U.S. women comprise 51% of adults. Find the following:
Made|man
0.46
Man and made
0.2254
Unmade|man
0.54
Man and unmade
0.2646
Made|woman
0.76
Woman and made
0.3876
Unmade|woman
0.24
Woman and unmade
0.1224
Men
0.49
Women
0.51
a) The percentage of all adults who are men and made their beds. 0.2254
b) The percentage of all adults who are women and made their beds. 0.3876
c) The percentage of all adults who made their beds. 0.613
d) If a person has made their bed, what is the probability that that person is a woman?
0.6223
Page 5 of 7
A.P. Statistics
15. You can insure a $25,000 diamond for its total value by paying a premium of C dollars. If the
probability of theft in a given year is 0.10, what premium should the insurance company
charge if it wants the expected gain to be equal to $1000?
X: profit
C – $25,000
C - $0
P(X)
0.10
0.90
(C – 25,000)(0.10) + (C – 0)(0.90) = 1000
0.10C – 2500 + 0.90C = 1000
C – 2500 = 1000
C = 3500
They should charge a premium of $3500 if they want the expected gain to be $1000.
16. Microcomputers are shipped to the University bookstore from three factories A, B, and C.
You know that factory A produces 20% defective microcomputers, whereas B produces 10%
defectives and C only 5% defectives. The manager in the store receives a new shipment of
microcomputers and discovers that 40% are from factory C, 40% are from factory B, and 20%
are from factory A. (Hint: make a tree diagram)
A
0.20
B
0.40
C
0.40
defective|A
0.20
A and defective
0.04
Not defective|A
0.80
A and not defective
0.16
defective|B
0.10
B and defective
0.04
Not defective|B
0.90
B and not defective
0.36
defective|C
0.05
C and defective
0.02
Not defective|C
0.95
C and not defective
0.38
a) What is the probabilities of finding a defective microcomputer in this shipment? 0.10
Page 6 of 7
A.P. Statistics
b) Are the events “microcomputer comes from factory A” and “microcomputer comes
from factory B” mutually exclusive? Are they independent? YES, mutually exclusive
but NO, not independent
c) Suppose the manager randomly selects one microcomputer, and discovers that it is
defective. What is the probability that it came from factory A? 0.4
17. Let X be a discrete random variable with probabiltiy distribution:
X
p(x)
a) Find P ( X = 2 ) . 0.4
1
.20
b) Find P ( X ≤ 2 ) . 0.6
2
.40
3
.10
4
.30
c) Find P ( X < 2 ) 0.2
d) Find P ( 2 ≤ X ≤ 4 ) 0.8
18. Let X be a discrete random variable with probabiltiy distribution:
X
p(x)
1
.20
2
.40
3
.20
4
.30
a) Does this assignment define a proper probability distribution?
Explain. No, the probabilities do not sum to 1.
19. Investing $100 in a project will yield a net return of $8, $10 or $12 with respective probabilities
0.2, 0.6 and 0.2. Let X be the random variable that represents the net return.
a) Write down the probability distribution of the variable X.
X
P(X)
8
0.2
10
0.6
12
0.2
b) Find the expected return for the project, and the standard deviation.
E(X) = 8(0.2) + 10(0.6) + 12(0.2) = 10
σX =
(8 − 10 ) ( 0.2 ) + (10 − 10 ) ( 0.6 ) + (12 − 10 ) ( 0.2 ) = 1.2649
2
2
2
c) Define Y = 2X + 1. Specify the probability distribution of Y.
Y
P(Y)
17
0.2
21
0.6
25
0.2
Page 7 of 7
A.P. Statistics
Probability Review
1. What is the sample space when two fair dice are rolled?
S = {1,1 1,2 1,3 1,4 1,5, 1,6 2,1 2,2 2,3 2,4 2,5 2,6 3,1 3,2 3,3 3,4 3,5 3,6
4,1 4,2 4,3 4,4 4,5 4,6 5,1 5,2 5,3 5,4 5,5 5,6 6,1 6,2 6,3 6,4 6,5 6,6}
2. Roll a die twice. Observe the numbers landed on.
a) What is the probability of observing two 5’s?
P (5,5) =
1
36
b) What is the probability of observing at least one 5?
P ( A) =
A = {1,5 2,5 3,5 4,5 5,1 5,2 5,3 5,4 5,5 5,6, 6,5}
11
36
c) What is the probability of observing exactly one 5?
B = {1,5 2,5 3,5 4,5 5,1 5,2 5,3 5,4 5,6 6,5}
P( B) =
10
36
3. For a family living in Southern Mississippi, the probability of owning a dog is 0.4, the probability
of owning a cat is 0.5, and the probability of owning both a cat and a dog is 0.12.
a) Use a Venn Diagram to show the Union of the two events.
0.22
A: DOG
B: CAT
0.28
0.12
0.38
b) Use a Venn Diagram to show the Intersection of the two events.
0.22
A: DOG
B: CAT
0.28
0.12
0.38
c) What is the probability that a family living in Southern Mississippi does not own a dog?
P(Ac) = 0.6
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A.P. Statistics
d) What is the probability that a family living in Southern Mississippi owns a cat or a dog?
P(A or B) = 0.78
e) What is the probability that a family living in Southern Mississippi owns neither a cat
nor a dog?
f)
P(A or B)c = 0.22
Are events A and B independent? NO
g) Are events A and B mutually exclusive (disjoint)?
NO
4. A coin is flipped three times. Event A consists of observing exactly 2 heads. Event B consists
of observing one or more tails.
a) List the members of event A.
A = {HHT, HTH, THH}
b) List the members of event B.
B = { HHT, HTH, THH, TTH, THT, HTT, TTT}
c) Find the union of event A and event B.
A or B = {HHT, HTH, THH, TTH, THT, HTT, TTT }
d) Find the intersection of event A and event B.
A and B = { HHT, HTH, THH }
3
P ( A ∩ B) 8
3
P ( A | B) =
=
= ≈ 0.4286
7 7
P ( B)
8
e) Find P(A|B)
5. Draw and label each of the following on a Venn Diagram:
a)
( A ∩ B)
b)
(A
c)
( A∩ B )
c
∩ B)
c
6. A player rolls two dice. The players receive $1.00 for each dot on the face of the two dice.
For example, he will be paid $9.00 if the dice show a 4 and a 5. Let X = the number of dollars
won each game.
a) Is X a discrete or continuous random variable?
discrete
b) Show the probability distribution of X.
X
2
3
4
5
6
7
8
9
10
11
12
P(X)
1
36
2
36
3
36
4
36
5
36
6
36
5
36
4
36
3
36
2
36
1
36
c) Find the expected value of X.
E(X) =
2 6 12 20 30 42 40 36 30 22 12 252
+
+
+
+
+
+
+
+
+
+
=
=7
36 36 36 36 36 36 36 36 36 36 36
36
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A.P. Statistics
d) Find the variance of the pay off.
σ X2 ≈ 5.8333
7. Roll two dice and observe the sum. Define the events as follows:
A = {the value is even}
B = {the value is odd}
C = {the value is less than 6}
D = {the value is greater than or equal to 6}
a) Write the sample space for the observed sum. S = { 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }
b) Write the probability distribution for the observed sum.
X
2
3
4
5
6
7
8
9
10
11
12
P(X)
1
36
2
36
3
36
4
36
5
36
6
36
5
36
4
36
3
36
2
36
1
36
c) Are events A and B mutually exclusive (disjoint)? YES
d) Are events A and B independent? NO
e) Find
f)
A ∪ D { 2, 4, 6, 7, 8, 9, 10, 11, 12 }
Calculate P ( A ∪ D )
g) Find B ∪ C
1 − P(3 or 5) = 1 −
6 30 5
=
= ≈ 0.8333
36 36 6
{ 2, 3, 4, 5, 7, 9, 11 }
h) Calculate P ( B ∪ C )
1
2
3
4
6
4
2
22 11
= ≈ 0.6111
+
+
+
+
+
+
=
36 36 36 36 36 36 36 36 18
8. Let X = the actual weight of a 2-lb. bag of rice. The mean amount of rice is 32 ounces, with
standard deviation is 0.25 ounces.
a) Is X a discrete or continuous variable? continuous
b) What percentage of the population will be within 31.5 and 32.5 ounces?
c)
32.5 − 32 ⎞
⎛ 31.5 − 32
P ( 31.5 ≤ X ≤ 32.5 ) = P ⎜
≤Z≤
⎟ ≈ 0.9545
0.25 ⎠
⎝ 0.25
9. A researcher surveyed students majoring in business and asked what type of car they own.
Bought New
Bought Used
TOTAL
Male
15
32
47
Female
44
12
56
TOTAL
59
44
103
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A.P. Statistics
a) What is the probability that a female student purchased a new car?
32
≈ 0.3107
103
b) What is the probability that a male student purchased a used car?
c) What is the probability that a student purchased a new car?
d) What is the probability that a student is female?
44
≈ 0.4272
103
59
≈ 0.5728
103
56
≈ 0.5437
103
e) Given that a student is female what is the probability that she purchased a used car?
12
≈ 0.2143
56
f)
Given that a car is new what is the probability that the owner is a male?
15
≈ 0.2542
59
10. A new detergent is found to remove excess dirt and stains satisfactorily on 88% of the items
washed. Assume that 3 items are to be washed with the new detergent.
a) What is the probability of satisfactory results on all 3 items?
( 0.88)
3
≈ 0.6814
b) What is the probability that exactly two items are cleaned satisfactorily?
3* ( 0.88 ) ( 0.12 ) ≈ 0.2788
2
c) What is the probability that none are cleaned satisfactorily?
( 0.12 )
3
≈ 0.0017
11. Given three outcomes E1, E2, and E3 with probabilities P(E1) = 0.05, P(E2) = 0.55, and P(E3) = 0.4
Let event A={E1,E3}, and B={E2, E3}
a) Find the probability of A union B. P ( A ∪ B ) = 1
b) Find the probability of A intersect B. P ( A ∩ B ) = 0.4
c) Find the probability of A given B.
P ( A | B ) ≈ 0.4211
d) Find the probability of B given A.
P ( B | A ) ≈ 0.8889
e) Are A and B independent? NO
12. Three friends are trying to decide who gets the last doughnut. They decide on the following
scheme: each will flip a fair coin and whoever gets the unique result will win the doughnut (if
the result is HTT then the first wins; if the result is HTH then the second wins). If all come out the
same, they will feed the doughnut to the birds.
a) What are the probabilities of each one winning?
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A.P. Statistics
Friend
1
2
3
THH or HTT
THT or HTH
TTH or HTT
0.25
0.25
0.25
b) What is the probability that the birds get it? P(HHH or TTT) = 0.25
13. A study found that on a given day 76% of women and 46% of men made their beds. In the
U.S. women comprise 51% of adults. Find the following:
Men
0.49
Women
0.51
Made|man
0.46
Man and made
0.2254
Unmade|man
0.54
Man and unmade
0.2646
Made|woman
0.76
Woman and made
0.3876
Unmade|woman
0.24
Woman and unmade
0.1224
a) The percentage of all adults who are men and made their beds. 0.2254
b) The percentage of all adults who are women and made their beds. 0.3876
c) The percentage of all adults who made their beds. 0.613
d) If a person has made their bed, what is the probability that that person is a woman?
0.6223
14. You can insure a $25,000 diamond for its total value by paying a premium of C dollars. If the
probability of theft in a given year is 0.20, what premium should the insurance company
charge if it wants the expected gain to be equal to $1000?
X: profit
C – $25,000
C - $0
P(X)
0.20
0.80
(C – 25,000)(0.20) + (C – 0)(0.80) = 1000
0.20C – 5000 + 0.80C = 1000
C – 5000 = 1000
C = 6000
They should charge a premium of $6000 if they want the expected gain to be $1000.
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A.P. Statistics
15. Microcomputers are shipped to the University bookstore from three factories A, B, and C.
You know that factory A produces 20% defective microcomputers, whereas B produces 10%
defectives and C only 5% defectives. The manager in the store receives a new shipment of
microcomputers and discovers that 40% are from factory C, 40% are from factory B, and 20%
are from factory A. (Hint: make a tree diagram)
A
0.20
B
0.40
C
0.40
defective|A
0.20
A and defective
0.04
Not defective|A
0.80
A and not defective
0.16
defective|B
0.10
B and defective
0.04
Not defective|B
0.90
B and not defective
0.36
defective|C
0.05
C and defective
0.02
Not defective|C
0.95
C and not defective
0.38
a) What is the probabilities of finding a defective microcomputer in this shipment? 0.10
b) Are the events “microcomputer comes from factory A” and “microcomputer comes
from factory B” mutually exclusive? Are they independent? YES, mutually exclusive
but NO, not independent
c) Suppose the manager randomly selects one microcomputer, and discovers that it is
defective. What is the probability that it came from factory A? 0.4
16. For an interstellar space truck stop the probability that the owner comes from the planet
Orkbak is 0.62. Of the Orkbakians, 88% are giants. What is the probability that the owner of a
randomly chosen interstellar truckstop is an Orkbakian giant?
Event A = Orkbakian
P ( A ) = 0.62
Event B = giant
P ( B | A ) = 0.88
P ( A ∩ B ) = P ( B | A ) * P ( A ) = 0.5456
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A.P. Statistics
17. Let X be a discrete random variable with probabiltiy distribution:
X
p(x)
a) Find P ( X = 2 ) . 0.4
1
.15
b) Find P ( X ≤ 2 ) . 0.55
2
.40
3
.10
4
.35
c) Find P ( X < 2 ) 0.15
d) Find P ( 2 ≤ X ≤ 4 ) 0.85
18. Let X be a discrete random variable with probabiltiy distribution:
X
p(x)
1
.20
2
.40
3
.20
4
.30
a) Does this assignment define a proper probability distribution?
Explain. No, the probabilities do not sum to 1.
19. Investing $100 in a project will yield a net return of $16, $20 or $26 with respective
probabilities 0.3, 0.5 and 0.2. Let X be the random variable that represents the net return.
a) Write down the probability distribution of the variable X.
X
16
20
26
P(X)
0.3
0.5
0.2
b) Find the expected return for the project, and the standard deviation.
E(X) = 16(0.3) + 20(0.5) + 26(0.2) = 20
σX =
(16 − 20 ) ( 0.3) + ( 20 − 20 ) ( 0.5) + ( 26 − 20 ) ( 0.2 ) = 3.4641
2
2
2
c) Define Y = 3X + 2. Specify the probability distribution of Y.
Y
50
62
80
P(Y)
0.3
0.5
0.2
Page 7 of 7