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Mathematics
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Jan 9, 2024
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Exam 2 Review Answers
MAT 167
1. Given the following data,
x
-4
-3
0
2
y
10
8
5
0
(a) Create a scatter diagram of the data. Does it look like there’s a linear correlation? If yes, is it
positive or negative?
It looks like there’s a negative linear correlation.
(b) Calculate the correlation coefficient.
Is there a strong linear correlation?
Is it positive or
negative?
r
≈ -
0
.
98. This is a strong negative correlation since
| -
0
.
98
|
>
0
.
950, the critical value for
the correlation coefficient.
(c) Find the regression line for the data above and use it to predict a y-value for
x
= 1
ˆ
y
=
-
1
.
55
x
+ 3
.
81; for
x
= 1, ˆ
y
= 2
.
26
(d) Interpret the slope and y-intercept of the least-squares regression line (if they make sense).
The slope is
-
1
.
55. This indicates that for each increase of 1 for
x
,
y
is predicted to decrease
by 1.55. The y-intercept is (0
,
3
.
81). This means the regression line predicts a value of 3.81 for
x
= 0 (although we have an actual data point that shows that when
x
is 0,
y
is 5).
2. In a factory, it was observed that employees who were well-liked by at least 60% of their colleagues
usually performed well on their annual performance evaluation. The correlation coefficient for being
well-liked and performing well was 0.97. Do you think that being well-liked causes a high score on
the performance evaluation? Explain why or why not. If you do not think so, give some examples of
other factors that could influence performing well on the evaluation.
Correlation does not imply causation, so probably being well-liked does not cause a good evaluation.
Other factors that might influence performing well (answers may vary): a good night’s sleep before
the evaluation, enjoying one’s job, high skill level, etc.
3. A probability experiment is performed in which an 8-sided die is rolled and then a card is chosen at
random from a standard deck of cards.
(a) What is the probability of rolling a number greater than 5 and choosing an even-numbered
card?
3
8
·
20
52
≈
0
.
144
(b) Is rolling a number greater than 5 and choosing an even-numbered card a simple event? Why
or why not?
No, the event has more than one possible outcome, e.g., roll a 6 and choose the 2 of spades, roll
a 7 and choose the 4 of clubs, roll an 8 and choose the 2 of diamonds, etc.
4. You go to the store to buy milk, eggs, and bread. For milk you have a choice of whole milk, 2%, 1%,
and skim; for eggs you have a choice of white or brown eggs; for bread you have a choice of white or
whole-wheat. How many possible ways could you choose the three items? What is the sample space?
4 choices for milk, 2 choices for eggs, 2 choices for bread; so there are 4
·
2
·
2 = 16 ways to choose the
three items. The sample space is:
{
(whole milk, white eggs, white bread),(whole milk, white eggs,
whole-wheat bread),(whole milk, brown eggs, white bread),(whole milk, brown eggs, whole-wheat
bread),(2%, white eggs, white bread),(2%, white eggs, whole-wheat bread),(2%, brown eggs, white
bread),(2%, brown eggs, whole-wheat bread),(1%, white eggs, white bread),(1%, white eggs, whole-
wheat bread),(1%, brown eggs, white bread),(1%, brown eggs, whole-wheat bread),(skim, white eggs,
white bread),(skim, white eggs, whole-wheat bread),(skim, brown eggs, white bread),(skim, brown
eggs, whole-wheat bread)
}
5. A prison rehabilitation program has a success rate of 68%. Jerry, Jamal, and Jos´
e have just completed
the program.
(a) What is the probability that all three of them will not re-offend after release from prison?
0
.
68
·
0
.
68
·
0
.
68
≈
0
.
314
(b) What is the probability that all three of them will re-offend after release from prison?
The probability that a person will re-offend is 1
-
0
.
68
≈
0
.
32, so the probability that all three
will re-offend is 0
.
32
·
0
.
32
·
0
.
32
≈
0
.
033
(c) What is the probability that at least one of them will not re-offend after release from prison?
At least one re-offending is the complement of none of them re-offending, so the probability that
at least one will re-offend is 1
-
0
.
314 = 0
.
686
6. You choose two cards from a standard deck of cards without replacing the first card. What is the
probability that the first card you draw is a king and the second card you draw is not a face card
(king, queen, jack)?
P(K and not a face card)=P(K)
·
P(not a face card
|
K)=
4
52
·
40
51
=
160
2652
≈
0
.
06
since P(not a face card
|
K)=1-P(face card
|
K)=1
-
11
51
=
40
51
7. Let A be the event that you have a car accident and let B be the event that you text while driving.
Are A and B independent events? Explain.
No, texting while driving increases the probability of having an accident.
8. A friend tells you that the probability that the Yankees will win their next game is 91%. You know
your friend doesn’t even follow baseball. Is this a classical probability, an empirical probability, or a
subjective probability?
Since your friend doesn’t even follow baseball, this probability is most likely a feeling or wish without
scientific backing. This is a subjective probability.
9. A friend tells you that the probability that the Yankees will win their next game is 91%. He pulls out
a record of the Yankees’ wins and losses over the past season to support his claim. Is this a classical
probability, an empirical probability, or a subjective probability?
Since your friend shows you the record of wins and losses, it is likely that this probability was
computed from observed data. This is an empirical probability.
10. If 2% of people have red hair, and 0.5% of people have green eyes and red hair, find the probability
that a person has green eyes given that he or she has red hair.
The multiplication formula says: P(R and G)=P(R)
·
P(G
|
R). We are interested in P(G
|
R), so plug in
the numbers you have and solve for that probability. 0
.
005 = 0
.
02
P
(
G
|
R
), so
P
(
G
|
R
) =
0
.
005
0
.
02
= 0
.
25
11. Let A be the event that a person’s grandparents are still living. Let B be the event that a person’s
great-grandparents are still living. Are A and B mutually exclusive events? Why or why not?
No, it is possible for a person’s grandparents and great-grandparents to be living simultaneously.
12. What is the probability of drawing a club or a 7 from a standard deck of cards?
The Addition Rule says P(club or 7)=P(club)+P(7)-P(club and 7), so P(club or 7)=
13
52
+
4
52
-
1
52
=
16
52
≈
0
.
308
13. What is the probability of drawing an even-numbered card or a queen from a standard deck of cards?
These events are mutually exclusive since queens are not even-numbered cards, so we can use the
simpler Addition Rule: P(even or queen)=P(even)+P(queen)=
20
52
+
4
52
=
24
52
≈
0
.
462
14. Determine whether the random variable is continuous or discrete. Explain your choice.
(a) The number of students in a class
This is a discrete random variable. There are infinitely many possibilities for how many students
are in the class, but the list can be counted: 0
,
1
,
2
,
3
,
4
, . . .
(b) The distance walked between classes
This is a continuous random variable.
We cannot write out a comprehensive list of all the
possible distances between classes.
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15. A gambling game costs
2 to play. It’s possible to lose the game (and pay an additional
50), to
break even (and pay no additional money), or to win big (and gain
10,000). Let
X
represent the
payout to the player.
x
P(x)
-
$52
0.399
-
$2
0.600
$9
,
998
0.001
(a) Determine whether the table describing the payout is a discrete probability distribution. Explain
your choice.
This is a discrete probability distribution because there are finitely many outcomes (discrete),
each of the probabilities is between 0 and 1, and 0
.
399 + 0
.
600 + 0
.
001 = 1.
(b) Use the table to find the expected value of the game (to the player). Round the answer to two
decimal places. Based on the expected value, would you want to play the game? Why or why
not?
The expected value is
-
$11
.
95. I would not want to play the game because the expected value
is negative (not likely that I would win money).
(c) Find the standard deviation of the discrete random variable,
X
.
Round the answer to two
decimal places.
The standard deviation is
317.65.