Deck 17: Continuous Random Variables
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Deck 17: Continuous Random Variables
1
If X has density function f(x)=
find k.
A) 12
B) 2
C)
D)
E) 24

A) 12
B) 2
C)

D)

E) 24
24
2
The random variable X has density function f(x)=
Find P(X > 2).Give answer in terms of e.

Find P(X > 2).Give answer in terms of e.

3
The random variable X has density function f(x)=
Find (a)P
and (b)P
.

Find (a)P

and (b)P

.
(a)
(b)

(b)

4
The random variable X has density function f(x)=
Find μ and σ.

Find μ and σ.
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5
The random variable X has density function f(x)=
Find the cumulative distribution function F over
.

Find the cumulative distribution function F over

.
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6
If X is uniformly distributed over
,what is the density function for X?

,what is the density function for X?
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7
The random variable X has density function f(x)=
Find P(X ≥ 4).Give answer in terms of e.

Find P(X ≥ 4).Give answer in terms of e.
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8
Suppose the cumulative distribution function for the random variable X is given by
F(x)=
Find P(1 < X < 3).
F(x)=

Find P(1 < X < 3).
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9
Suppose X is uniformly distributed over the interval
.Find (a)P(2 ≤ X ≤ 3)and (b)P(X ≥ 2).

.Find (a)P(2 ≤ X ≤ 3)and (b)P(X ≥ 2).
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10
The random variable X has density function f(x)=
Find (a)P
and (b)P
.

Find (a)P

and (b)P

.
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11
If the density function for the random variable X is f(x)=
,find k.

,find k.
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12
The random variable X has density function f(x)=
Find μ and σ.

Find μ and σ.
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13
The random variable X has density function f(x)=
Find the cumulative distribution function F over
.

Find the cumulative distribution function F over

.
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14
The random variable X has density function f(x)=
Find the cumulative distribution function F over
.

Find the cumulative distribution function F over

.
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15
If X is uniformly distributed over
,what is the density function for X?

,what is the density function for X?
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16
The random variable X has density function f(x)=
Find (a)P(20 ≤ X ≤ 40)and (b)P(X ≥ 40).

Find (a)P(20 ≤ X ≤ 40)and (b)P(X ≥ 40).
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17
Suppose the cumulative distribution function for the random variable X is given by
F(x)=
Find P(2 < X < 3).
F(x)=

Find P(2 < X < 3).
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18
If the density function for the random variable X is f(x)=
,
find k.

,
find k.
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19
Suppose X is uniformly distributed over the interval
.Find P(2 < X < 4).

.Find P(2 < X < 4).
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20
If X has density function f(x)=
find k.
A) 0
B) 1
C)
D) 6
E)

A) 0
B) 1
C)

D) 6
E)

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21
If X is a normal random variable with μ = 30 and σ = 5,determine the Z-value that corresponds to X = 28.
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22
If X has density function f(x)=
find σ.
A)
B)
C)
D)
E)

A)

B)

C)

D)

E)

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23
The life expectancy (in years)of patients after they have contracted a certain disease is exponentially distributed with k = 0.4.Find the mean life expectancy and the standard deviation.
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24
If X has density function f(x)=
find μ.
A)
B)
C)
D)
E) 2

A)

B)

C)

D)

E) 2
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25
Suppose X has density function f(x)=
Find P(2 < X < 3).
A)
B)
C)
D)
E)

A)

B)

C)

D)

E)

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26
The life expectancy (in years)of a computer printer is distributed exponentially with k =
.If the printer's warranty lasts 3 years,what is the probability that a printer will break down during the warranty period?

.If the printer's warranty lasts 3 years,what is the probability that a printer will break down during the warranty period?
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27
The length of time (in minutes)that a person arriving at a bus stop must wait for a bus is uniformly distributed with density function f(x)=
where 0 ≤ x ≤ 15.Find the mean waiting time and the standard deviation.

where 0 ≤ x ≤ 15.Find the mean waiting time and the standard deviation.
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28
If Z has a standard normal distribution,find P(0 < Z < 1.48).
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29
Suppose X is uniformly distributed over the interval
.Find P(3 < X < 8).
A)
B)
C)
D)
E)

A)

B)

C)

D)

E)

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30
The life expectancy (in years)of a computer printer is distributed exponentially with k =
.If the printer's warranty lasts 3 years,what is the probability that a printer will last more than 10 years?

.If the printer's warranty lasts 3 years,what is the probability that a printer will last more than 10 years?
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31
Suppose the time (in minutes)passengers must wait for an airplane is uniformly distributed with density function f(x)=
where 0 ≤ x ≤ 60 and f(x)= 0 elsewhere.What is the probability that a commuter must wait more than 0 minutes?

where 0 ≤ x ≤ 60 and f(x)= 0 elsewhere.What is the probability that a commuter must wait more than 0 minutes?
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32
Suppose the time (in minutes)applicants must wait to receive a driver's examination is uniformly distributed with density function f(x)=
where 0 ≤ x ≤ 40 and f(x)= 0 elsewhere.What is the probability that an applicant must wait less than 25 minutes?

where 0 ≤ x ≤ 40 and f(x)= 0 elsewhere.What is the probability that an applicant must wait less than 25 minutes?
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33
If X is a normal random variable with μ = 16 and σ = 2,determine the Z-value that corresponds to X = 23.
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34
Suppose the time (in minutes)applicants must wait to receive a driver's examination is uniformly distributed with density function f(x)=
where 0 ≤ x ≤ 40 and f(x)= 0 elsewhere.What is the probability that an applicant must wait more than 35 minutes?

where 0 ≤ x ≤ 40 and f(x)= 0 elsewhere.What is the probability that an applicant must wait more than 35 minutes?
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35
Suppose X has density function f(x)=
Find P(X < 1).
A) 2
- 2
B)
- 1
C)
D) 1 - 2
E) 1 -

A) 2

B)

C)

D) 1 - 2

E) 1 -

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36
Suppose X is uniformly distributed over the interval
.Find P(X > 5).
A) 03.
B) 0.4
C) 0.5
D) 0.6
E) 0.7

A) 03.
B) 0.4
C) 0.5
D) 0.6
E) 0.7
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37
If X has density function f(x)=
find c such that P(X < c)= 
)
A)
B) 2
C) 2
D) 8
E) 4


)
A)

B) 2
C) 2

D) 8
E) 4

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38
The length of time (in minutes)that a person arriving at a train station must wait for a train is uniformly distributed with density function f(x)=
where 0 ≤ x ≤ 20.Find the mean waiting time and the standard deviation.

where 0 ≤ x ≤ 20.Find the mean waiting time and the standard deviation.
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39
If X has density function f(x)=
find μ.
A)
B)
C)
D)
E)

A)

B)

C)

D)

E)

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40
The life expectancy (in years)of a keyboard is distributed exponentially with k =
.If the keyboard's warranty lasts 2 years,what is the probability that a keyboard will break down after the warranty expires?

.If the keyboard's warranty lasts 2 years,what is the probability that a keyboard will break down after the warranty expires?
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41
If Z has a standard normal distribution,find P(Z > 0.12).
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42
If X is normally distributed with μ = 8 and σ = 2,find P(3 ≤ X ≤ 8).
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43
If X is normally distributed with μ = 18 and σ = 2,find P(11 ≤ X ≤ 16).
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44
If Z has a standard normal distribution,find P(2.5 ≤ Z ≤ 3).
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45
If Z has a standard normal distribution,find P(-3 ≤ Z ≤ -0.5).
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46
If Z has a standard normal distribution,find P(|Z| <
).

).
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47
If Z has a standard normal distribution,find P(-0.65 < Z < 1.92).
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48
If Z has a standard normal distribution,find P(|Z| > 1.75).
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49
If X is normally distributed with μ = 10 and σ = 2,find P(4 ≤ X ≤ 12).
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50
If X is normally distributed with μ = 100 and σ = 10,find P(X < 115).
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51
If Z has a standard normal distribution,find P(-2 ≤ Z ≤ -1).
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52
If Z has a standard normal distribution,find P(Z > -1.81).
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53
If Z has a standard normal distribution,find P(2.2 < Z < 3.5).
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54
If X is normally distributed with μ = 12 and σ = 2,find P(12 ≤ X ≤ 15).
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55
If X is normally distributed with μ = 25 and σ = 5,find P(20 ≤ X ≤ 35).
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56
If X is normally distributed with μ = 20 and σ = 4,find P(16 ≤ X ≤ 18).
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57
If Z has a standard normal distribution,find P(Z > 2σ).
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58
If X is normally distributed with μ = 100 and σ = 10,find P(X < 118).
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59
If Z has a standard normal distribution,find P(-1 ≤ Z ≤ 2).
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60
If Z has a standard normal distribution,find P(Z < -1.23).
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61
Suppose X is normally distributed with mean 100 and standard deviation 20.Without using tables,determine the approximate value of P(80 < X < 100).
A) 0.997
B) 0.95
C) 0.68
D) 0.50
E) 0.34
A) 0.997
B) 0.95
C) 0.68
D) 0.50
E) 0.34
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62
If X is normally distributed with μ = 150 and σ = 30,find P(90 < X < 180).
A) 0.1359
B) 0.8185
C) 0.3185
D) 0.8243
E) 0.8173
A) 0.1359
B) 0.8185
C) 0.3185
D) 0.8243
E) 0.8173
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63
The life (in hours)of light bulbs of a certain brand is normally distributed with mean 1200 and standard deviation 100.What percentage of such bulbs will burn more than 1250 hours?
A) 13.62
B) 20.47
C) 30.85
D) 41.73
E) 48.26
A) 13.62
B) 20.47
C) 30.85
D) 41.73
E) 48.26
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64
If Z is a standard normal variable,find
such that P(-
< Z <
)= 0.823.

such that P(-

< Z <

)= 0.823.
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65
If Z has a standard normal distribution,state the mean and standard deviation of Z.
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66
If X is normally distributed with μ = 80 and σ = 8,find P(X < 74).
A) 0.2734
B) 0.7734
C) 0.2266
D) 0.7732
E) 0.7266
A) 0.2734
B) 0.7734
C) 0.2266
D) 0.7732
E) 0.7266
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67
The scores on an examination are normally distributed with μ = 75 and σ = 10.What percentage of the scores are between 70 and 90?
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68
If X is normally distributed with μ = 60 and σ = 5,find P(X > 72).
A) 0.0082
B) 0.0123
C) 0.2731
D) 0.2968
E) 0.4918
A) 0.0082
B) 0.0123
C) 0.2731
D) 0.2968
E) 0.4918
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69
If Z has a standard normal random variable and P(Z >
)= 0.9938,

)= 0.9938,

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70
If Z has a standard normal random variable and P(Z >
)= 0.4539,

)= 0.4539,

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71
If X is normally distributed with μ = 20 and σ = 5,find
such that P(X > 
)= 0.025.
A) 18.6
B) 21.96
C) 27.2
D) 29.8
E) 31.6


)= 0.025.
A) 18.6
B) 21.96
C) 27.2
D) 29.8
E) 31.6
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72
If Z is a standard normal variable,find
such that P( Z ≥
)= 0.9918.

such that P( Z ≥

)= 0.9918.
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73
If X is normally distributed with μ = 40 and σ = 6,find P(X ≥ 37).
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74
If X is normally distributed with mean μ and standard deviation σ,then what is the approximate probability that μ - 2σ ≤ X ≤ μ + 2σ?
A) 0.5
B) 0.68
C) 0.95
D) 0.997
E) 0.999
A) 0.5
B) 0.68
C) 0.95
D) 0.997
E) 0.999
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75
The life (in hours)of light bulbs of a certain brand is normally distributed with mean 1000 and standard deviation 100.What percentage of such bulbs will burn more than 950 hours?
A) 40.95
B) 72.15
C) 68.34
D) 65.54
E) 69.15
A) 40.95
B) 72.15
C) 68.34
D) 65.54
E) 69.15
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76
If X is normally distributed with μ = 50 and σ = 10,find
such that P(X < 
)= 0.9938.
A) 25
B) 50
C) 75
D) 80
E) 100


)= 0.9938.
A) 25
B) 50
C) 75
D) 80
E) 100
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77
If X is normally distributed with μ = 50 and σ = 8,find P(X ≤ 44).
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78
Suppose X is normally distributed with mean 80 and standard deviation 15.Without using tables,determine the approximate value of P(65 < X < 95).
A) 0.997
B) 0.95
C) 0.68
D) 0.50
E) 0.33
A) 0.997
B) 0.95
C) 0.68
D) 0.50
E) 0.33
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79
Suppose X is normally distributed with μ = 80 and σ = 15.Without using tables,approximate P(50 < X < 80).
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80
The scores on an examination are normally distributed with μ = 500 and σ = 100.What percentage of the scores are less than 360?
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