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Mathematics
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Calculus and Its Applications
Exam 12: Probability and Calculus
Path 4
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Question 41
Multiple Choice
Suppose X is a normal random variable with density function
f
(
x
)
=
1
2
π
e
(
−
1
/
2
)
(
x
+
4
)
2
f ( x ) = \frac { 1 } { \sqrt { 2 \pi } } \mathrm { e } ^ { ( - 1 / 2 ) ( x + 4 ) ^ { 2 } }
f
(
x
)
=
2
π
1
e
(
−
1/2
)
(
x
+
4
)
2
. Find the expected value and standard deviation of X.
Question 42
Short Answer
Suppose that during a certain part of the day, the number X of automobiles that arrive within any one minute at a tollgate is Poisson distributed, and
Pr
(
X
=
k
)
=
4
k
e
−
4
1
⋅
2
⋅
…
⋅
k
\operatorname { Pr } ( X = \mathrm { k } ) = \frac { 4 ^ { \mathrm { k } } \mathrm { e } ^ { - 4 } } { 1 \cdot 2 \cdot \ldots \cdot \mathrm { k } }
Pr
(
X
=
k
)
=
1
⋅
2
⋅
…
⋅
k
4
k
e
−
4
. What is the average number of automobiles that arrive per minute? Enter just an integer.
Question 43
Short Answer
Find (by inspection) the expected value and the variance of the random variables with the following density function:
f
(
x
)
=
0.2
e
−
0.2
x
,
x
≥
0
f ( x ) = 0.2 e ^ { - 0.2 x } , x \geq 0
f
(
x
)
=
0.2
e
−
0.2
x
,
x
≥
0
Enter your answer as just two integers separated by a comma, the first representing E(X) and the second representing Var(X).
Question 44
Short Answer
Determine the probability of an outcome of the probability density function
f
(
x
)
=
4
x
3
f ( x ) = 4 x ^ { 3 }
f
(
x
)
=
4
x
3
being between
1
4
and
1
2
\frac { 1 } { 4 } \text { and } \frac { 1 } { 2 }
4
1
and
2
1
where
0
≤
x
≤
1
0 \leq x \leq 1
0
≤
x
≤
1
. Enter just a reduced fraction.
Question 45
Short Answer
Find the expected value and variance for the random variable whose probability density function is
f
(
x
)
=
e
x
f ( x ) = e ^ { x }
f
(
x
)
=
e
x
x
≤
0
x \leq 0
x
≤
0
(You may use the fact that
lim
b
→
∞
\lim _ { b \rightarrow \infty }
lim
b
→
∞
b
e
b
b e^{b}
b
e
b
= 0 .)Enter just two integers (unlabeled) in the order E(X), Var(X) separated by a comma.
Question 46
Short Answer
An appliance comes with an unconditional money back guarantee for its first 6 months. It has been found that the time before the appliance experiences some sort of malfunction is an exponential random variable with mean 2 years. What percentage of appliances will malfunction during the warranty period? Enter your answer as just a ±
e
b
\mathrm { e } ^ { \mathrm { b } }
e
b
, where a is an integer and b is a real number to two decimal places. (no units).
Question 47
Short Answer
Find (by inspection) the expected value and standard deviation of the random variable with the following density function:
f
(
x
)
=
e
−
0.1
x
\mathrm { f } ( \mathrm { x } ) = \mathrm { e } ^ { - 0.1 x }
f
(
x
)
=
e
−
0.1
x
. Enter your answer as just two integers separated by a comma, the first representing E(X) and the second representing
Var
(
X
)
\sqrt { \operatorname { Var } ( X ) }
Var
(
X
)
.
Question 48
Short Answer
Consider a square with sides of length 2 as in the diagram below. An experiment consists of choosing a point at random from the square and noting its x-coordinate. If X is the x-coordinate of the point chosen, find the cumulative distribution function of X. [Recall F(x) = Pr(0 ≤ X ≤ x).]
Enter just an unlabeled polynomial in x in standard form.
Question 49
Multiple Choice
The table below is the probability table for a random variable X. Find E(X) , Var(X) , and the standard deviation of X.
Outcome
−
2
−
1
0
1
2
Probability
0.2
0.35
0.15
0.05
0.25
\begin{array} { l | l l l l l } \text { Outcome } & - 2 & - 1 & 0 & 1 & 2 \\\hline \text { Probability } & 0.2 & 0.35 & 0.15 & 0.05 & 0.25\end{array}
Outcome
Probability
−
2
0.2
−
1
0.35
0
0.15
1
0.05
2
0.25
Question 50
Short Answer
Find (by inspection) the expected value and standard deviation of the random variable with the following density function:
f
(
x
)
=
1
2
2
π
e
−
1
/
8
x
2
f ( x ) = \frac { 1 } { 2 \sqrt { 2 \pi } } e ^ { - 1 / 8 x ^ { 2 } }
f
(
x
)
=
2
2
π
1
e
−
1/8
x
2
Enter your answer as just two numbers (integers or reduced fractions) separated by a comma, the first representing E(X) and the second representing
Var
(
X
)
\sqrt { \operatorname { Var } ( X ) }
Var
(
X
)
.
Question 51
True/False
Is f(x) =
1
21
\frac { 1 } { 21 }
21
1
x
2
x ^ { 2 }
x
2
a probability density function on the interval 1 ≤ x ≤ 4 ?
Question 52
True/False
Let X be a continuous random variable A ≤ X ≤ B and let f (x) be its probability density function and F (x) its cumulative distribution function. Indicate whether the following statements are true or false. -f(A) = 0, f(B) = 1