Deck 6: Continuous Distributions

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Question
In a standard normal distribution, if the area under curve to the right of a z value is 0.10, then the area to the left of the same z value is -0.10.
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Question
Normal distribution is a skewed distribution with its tails extending to infinity on either side of the mean.
Question
A uniform continuous distribution is also referred to as a rectangular distribution.
Question
If the probability of a binomial distribution was considering values that were greater than 14, then the correction for continuity would start at 13.5.
Question
If arrivals at a bank followed a Poisson distribution, then the time between arrivals would follow a binomial distribution.
Question
The area of the rectangle depicting a uniform distribution is always equal to the mean of the distribution.
Question
The height of the rectangle depicting a uniform distribution is the probability of each outcome and it is the same for all of the possible outcomes.
Question
The normal approximation for binomial distribution can be used when n=10 and p=1/5.
Question
A z score is the number of standard deviations that a value of a random variable is above or below the mean.
Question
A correction for continuity must be made when approximating the binomial distribution problems using a normal distribution.
Question
The z distribution is a normal distribution with a mean of zero and a standard deviation of one.
Question
Correcting for continuity is necessary when a researcher is using a discrete distribution to estimate probabilities from a continuous distribution.
Question
Binomial distributions in which the sample sizes are large may be approximated by a Poisson distribution.
Question
The area of the rectangle depicting a uniform distribution is always equal to one.
Question
Many human characteristics, such as height and weight, and many variable measurements, such as household insurance and cost per square metre of rental space, are normally distributed.
Question
If the probability of a binomial distribution was considering values that were less than 14, then the correction for continuity would start at 13.5.
Question
For an exponential distribution, the mean is always equal to its variance.
Question
A normal distribution with a mean of zero and a standard deviation of 1 is called a null distribution.
Question
The area under the standard normal distribution between -1 and 1 is twice the area between 0 and 1.
Question
Since a normal distribution curve extends from minus infinity to plus infinity, the area under the curve is infinity.
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x \le 11)is ___.

A)0.750
B)0.000
C)0.333
D)0.500
E)1.000
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the mean of this distribution is ___.

A)10
B)20
C)5
D)0
E)unknown
Question
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the standard deviation of this distribution is ___.

A)unknown
B)8.33
C)0.833
D)2.89
E)1.89
Question
Suppose the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140, inclusively (90 \le x \le 140), then the height of this distribution, f(x), is __________________.

A)1/90
B)1/50
C)1/140
D)1/200
E)1/500
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x \ge 10)is ___.

A)0.750
B)0.000
C)0.333
D)0.500
E)0.900
Question
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the mean of this distribution is ___.

A)50
B)25
C)10
D)15
E)5
Question
If the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140, inclusively (90 \le x \le 140), then the standard deviation of this distribution is approximately __________________.

A)4.16
B)50
C)14.4
D)7.07
E)28.2
Question
The standard deviation of an exponential distribution is equal to 1/λ.
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(9 \le x \le 11), is ___.

A)0.250
B)0.500
C)0.333
D)0.750
E)1.000
Question
If the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140, inclusively (90 \le x \le 140), then the mean of this distribution is __________________.

A)115
B)230
C)45
D)70
E)unknown
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the standard deviation of this distribution is approximately___.

A)4.00
B)1.33
C)1.15
D)2.00
E)1.00
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x < 7)is ___.

A)0.500
B)0.000
C)0.375
D)0.250
E)1.000
Question
The exponential distribution is especially useful in queuing problems to analyze the interarrival times.
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(10.0 \le x \le 11.5), is ___.

A)0.250
B)0.333
C)0.375
D)0.500
E)0.750
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(13 \le x \le 15), is ___.

A)0.250
B)0.500
C)0.375
D)0.000
E)1.000
Question
For an exponential distribution, the mean and the median are equal.
Question
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the height of this distribution, f(x), is ___.

A)1/10
B)1/20
C)1/30
D)12/50
E)1/60
Question
The mean of an exponential distribution is equal to 1/λ.
Question
The exponential distribution is a continuous distribution that is closely related to the Poisson distribution.
Question
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the height of this distribution, f(x), is ___.

A)1/8
B)1/4
C)1/12
D)1/20
E)1/24
Question
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in 33 to 35 minutes, inclusively, i.e., P(33 \le x \le 35)is ___.

A)0.5080
B)0.000
C)0.375
D)0.200
E)1.000
Question
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ( σ\sigma )of 1.What is P(1.3 < z < 2.3)?

A)0.4032
B)0.9032
C)0.4893
D)0.0861
E)0.0086
Question
The area to the left of the mean in any normal distribution is equal to ___.

A)the mean
B)1
C)the variance
D)0.5
E)-0.5
Question
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ()of 1.What is P(z > -1.1)?

A)0.36432
B)0.8643
C)0.1357
D)-0.1357
E)-0.8643
Question
If x, the time (in minutes)to complete an change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in 21.75 to 24.25 minutes, inclusively, i.e., P(21.75 \le x \le 24.25)is ___.

A)0.250
B)0.333
C)0.375
D)0.000
E)1.000
Question
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job will be completed 24 minutes or more, i.e., P(x \ge 24)is ___.

A)0.100
B)0.000
C)0.333
D)0.600
E)1.000
Question
If x, the time (in minutes)to complete an oil change job at a certain auto station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in less than or equal to 22 minutes, i.e., P(x \le 22)is ___.

A)0.200
B)0.300
C)0.000
D)0.250
E)1.000
Question
Suppose x is a normal random variable with mean ( μ\mu )equal to 60 and standard deviation ( σ\sigma )of 2.If the z score was calculated to be -1.3, what is the value of x?

A)58.7
B)61.3
C)62.6
D)57.4
E)54.7
Question
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in less than 17 minutes, i.e., P(x < 17)is ___.

A)0.500
B)0.300
C)0.000
D)0.250
E)1.000
Question
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ( σ\sigma )of 1.What is P(z < -2.1)?

A)0.4821
B)-0.4821
C)0.9821
D)0.0179
E)-0.0179
Question
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ( σ\sigma )of 1.What is P(z > 2.4)?

A)0.4918
B)0.9918
C)0.0082
D)0.4793
E)0.0820
Question
Let z be a normal random variable with mean 0 and standard deviation 1.The 75th percentile of z is most closely reflected by ___.

A)0.6700
B)-1.254
C)0.0000
D)1.2800
E)0.5000
Question
Let z be a normal random variable with mean ( μ\mu )equal to 0 and standard deviation ( σ\sigma )of 1.What is P(z < 1.3)?

A)0.4032
B)0.9032
C)0.0968
D)0.3485
E)0.5485
Question
The total area underneath any normal curve is equal to ___.

A)the mean
B)one
C)the variance
D)the coefficient of variation
E)the standard deviation
Question
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ()of 1.The 50th percentile of z is most closely reflected by ___.

A)0.6700
B)-1.254
C)0.0000
D)1.2800
E)0.5000
Question
The normal distribution is an example of ___.

A)a discrete distribution
B)a continuous distribution
C)a bimodal distribution
D)an exponential distribution
E)a binomial distribution
Question
If x is a normal random variable with mean ( μ\mu )equal to 80 and a standard deviation ( σ\sigma )of 5, the z score for x = 88 is ___.

A)1.8
B)-1.8
C)1.6
D)-1.6
E)8.0
Question
A z score is the number of ___ that a value, x, is from the mean.

A)variances
B)standard deviations
C)units
D)miles
E)minutes
Question
Within a range of z scores from -1 to +1, you can expect to find ___ per cent of the values in a normal distribution.

A)95
B)99
C)68
D)34
E)100
Question
Suppose x is a normal random variable with mean ( μ\mu )equal to 60 and standard deviation ( σ\sigma )of 2.If the z score was calculated to be 3.4, what is the value of x?

A)63.4
B)56.6
C)68.6
D)53.2
E)66.8
Question
The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.What is the probability that a randomly selected bulb would last fewer than 940 hours?

A)0.3849
B)0.8849
C)0.1151
D)0.6151
E)0.6563
Question
The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.What is the probability that a randomly selected bulb would last longer than 1,150 hours?

A)0.4987
B)0.9987
C)0.0013
D)0.5013
E)0.5513
Question
Let x be a binomial random variable with n=35 and p=.20.If we use the normal distribution to approximate probabilities for this, we would use a mean of _______.

A)35
B)20
C)70
D)7
E)3.5
Question
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.The z-score for x = 46 is ________.

A)1.0
B)-1.0
C)11
D)-11
E).10
Question
The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.What is the probability that a randomly selected bulb would last less than 1,100 hours?

A)0.4772
B)0.9772
C)0.0228
D)0.5228
E)0.5513
Question
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.A z score of 3.4 was calculated.What is the value of x?

A)37.4
B)72.4
C)0.00
D)68.0
E)20.8
Question
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes and a z score of 0 was calculated.What is the value of x?

A)-35.0
B)0.0
C)70.0
D)35.0
E)-1.0
Question
Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life between 30,000 and 50,000 kilometres?

A)0.5000
B)0.4772
C)0.9544
D)0.9772
E)1.0000
Question
A recent market study has determined that the probability that a young adult would be willing to try a new online financial service that your company is offering is 50%.In a random sample of 10 young adults, the probability that exactly 5 will be willing to try this new service is _________, and the approximate probability (using the normal distribution is)_________.

A)0.251; 0.246
B)0.246; 0.242
C)0.246; 0.248
D)0.249; 0.251
E)0.248; 0.246
Question
Let x be a binomial random variable with n=50 and p=.3.If we use the normal distribution to approximate probabilities for this, a correction for continuity should be made.To find the probability of more than 15 successes, we should find _______.

A)P(x>15.5)
B)P(x>15)
C)P(x>14.5)
D)P(x<14.5)
E)P(x < 15)
Question
A recent market study has determined that the probability that a young adult would be willing to try a new online financial service that your company is offering is 50%.In a random sample of 10 young adults, the approximate probability that at least 2 but no more than 3 will be willing to try this new service is _________.

A)0.1575
B)0.1612
C)0.1775
D)0.1812
E)0.1975
Question
Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life of at most 30,000 kilometres?

A)0.5000
B)0.4772
C)0.0228
D)0.9772
E)1.0000
Question
Let x be a binomial random variable with n=50 and p=.3.The probability of less than or equal to 13 successes, when using the normal approximation for binomial is most closely reflected by ________.

A)-0.6172
B)0.3086
C)3.240
D)0.3217
E)-0.23224
Question
Suppose you are working with a data set that is normally distributed with a mean of 400 and a standard deviation of 20.Determine the value of x such that 60% of the values are greater than x.

A)404.5
B)395.5
C)405.0
D)395.0
E)415.0
Question
Most graduate business schools require applicants to take the GMAT.Scores on this test are approximately normally distributed with a mean of 545 points and a standard deviation of 100 points.What score do you need to be in the top 5% (approximately the scores needed for top schools)?

A)718
B)716
C)714
D)712
E)710
Question
Completion time (from start to finish)of a building remodelling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days.To be 99% sure that we will not be late in completing the project, we should request a completion time of ___ work-days.

A)211
B)207
C)223
D)200
E)250
Question
Within a range of z scores from -2 to +2, you can expect to find ___ per cent of the values in a normal distribution.

A)95
B)99
C)68
D)34
E)100
Question
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.A z score of -1.3 was calculated.What is the value of x?

A)20.7
B)0.0
C)-14.3
D)14.3
E)-20.7
Question
Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life of at least 50,000 kilometres?

A)0.0228
B)0.9772
C)0.5000
D)0.4772
E)1.0000
Question
Completion time (from start to finish)of a building remodelling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days.The probability that the project will be completed within 185 work-days is ___.

A)0.0668
B)0.4332
C)0.5000
D)0.9332
E)0.9950
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Deck 6: Continuous Distributions
1
In a standard normal distribution, if the area under curve to the right of a z value is 0.10, then the area to the left of the same z value is -0.10.
False
2
Normal distribution is a skewed distribution with its tails extending to infinity on either side of the mean.
False
3
A uniform continuous distribution is also referred to as a rectangular distribution.
True
4
If the probability of a binomial distribution was considering values that were greater than 14, then the correction for continuity would start at 13.5.
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5
If arrivals at a bank followed a Poisson distribution, then the time between arrivals would follow a binomial distribution.
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6
The area of the rectangle depicting a uniform distribution is always equal to the mean of the distribution.
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7
The height of the rectangle depicting a uniform distribution is the probability of each outcome and it is the same for all of the possible outcomes.
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8
The normal approximation for binomial distribution can be used when n=10 and p=1/5.
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9
A z score is the number of standard deviations that a value of a random variable is above or below the mean.
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10
A correction for continuity must be made when approximating the binomial distribution problems using a normal distribution.
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11
The z distribution is a normal distribution with a mean of zero and a standard deviation of one.
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12
Correcting for continuity is necessary when a researcher is using a discrete distribution to estimate probabilities from a continuous distribution.
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13
Binomial distributions in which the sample sizes are large may be approximated by a Poisson distribution.
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14
The area of the rectangle depicting a uniform distribution is always equal to one.
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15
Many human characteristics, such as height and weight, and many variable measurements, such as household insurance and cost per square metre of rental space, are normally distributed.
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16
If the probability of a binomial distribution was considering values that were less than 14, then the correction for continuity would start at 13.5.
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17
For an exponential distribution, the mean is always equal to its variance.
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18
A normal distribution with a mean of zero and a standard deviation of 1 is called a null distribution.
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19
The area under the standard normal distribution between -1 and 1 is twice the area between 0 and 1.
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20
Since a normal distribution curve extends from minus infinity to plus infinity, the area under the curve is infinity.
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21
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x \le 11)is ___.

A)0.750
B)0.000
C)0.333
D)0.500
E)1.000
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22
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the mean of this distribution is ___.

A)10
B)20
C)5
D)0
E)unknown
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23
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the standard deviation of this distribution is ___.

A)unknown
B)8.33
C)0.833
D)2.89
E)1.89
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24
Suppose the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140, inclusively (90 \le x \le 140), then the height of this distribution, f(x), is __________________.

A)1/90
B)1/50
C)1/140
D)1/200
E)1/500
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25
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x \ge 10)is ___.

A)0.750
B)0.000
C)0.333
D)0.500
E)0.900
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26
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the mean of this distribution is ___.

A)50
B)25
C)10
D)15
E)5
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27
If the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140, inclusively (90 \le x \le 140), then the standard deviation of this distribution is approximately __________________.

A)4.16
B)50
C)14.4
D)7.07
E)28.2
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28
The standard deviation of an exponential distribution is equal to 1/λ.
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29
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(9 \le x \le 11), is ___.

A)0.250
B)0.500
C)0.333
D)0.750
E)1.000
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30
If the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140, inclusively (90 \le x \le 140), then the mean of this distribution is __________________.

A)115
B)230
C)45
D)70
E)unknown
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31
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the standard deviation of this distribution is approximately___.

A)4.00
B)1.33
C)1.15
D)2.00
E)1.00
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32
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x < 7)is ___.

A)0.500
B)0.000
C)0.375
D)0.250
E)1.000
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33
The exponential distribution is especially useful in queuing problems to analyze the interarrival times.
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34
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(10.0 \le x \le 11.5), is ___.

A)0.250
B)0.333
C)0.375
D)0.500
E)0.750
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35
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(13 \le x \le 15), is ___.

A)0.250
B)0.500
C)0.375
D)0.000
E)1.000
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36
For an exponential distribution, the mean and the median are equal.
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37
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the height of this distribution, f(x), is ___.

A)1/10
B)1/20
C)1/30
D)12/50
E)1/60
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38
The mean of an exponential distribution is equal to 1/λ.
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39
The exponential distribution is a continuous distribution that is closely related to the Poisson distribution.
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40
If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the height of this distribution, f(x), is ___.

A)1/8
B)1/4
C)1/12
D)1/20
E)1/24
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41
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in 33 to 35 minutes, inclusively, i.e., P(33 \le x \le 35)is ___.

A)0.5080
B)0.000
C)0.375
D)0.200
E)1.000
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42
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ( σ\sigma )of 1.What is P(1.3 < z < 2.3)?

A)0.4032
B)0.9032
C)0.4893
D)0.0861
E)0.0086
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43
The area to the left of the mean in any normal distribution is equal to ___.

A)the mean
B)1
C)the variance
D)0.5
E)-0.5
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44
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ()of 1.What is P(z > -1.1)?

A)0.36432
B)0.8643
C)0.1357
D)-0.1357
E)-0.8643
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45
If x, the time (in minutes)to complete an change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in 21.75 to 24.25 minutes, inclusively, i.e., P(21.75 \le x \le 24.25)is ___.

A)0.250
B)0.333
C)0.375
D)0.000
E)1.000
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46
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job will be completed 24 minutes or more, i.e., P(x \ge 24)is ___.

A)0.100
B)0.000
C)0.333
D)0.600
E)1.000
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47
If x, the time (in minutes)to complete an oil change job at a certain auto station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in less than or equal to 22 minutes, i.e., P(x \le 22)is ___.

A)0.200
B)0.300
C)0.000
D)0.250
E)1.000
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48
Suppose x is a normal random variable with mean ( μ\mu )equal to 60 and standard deviation ( σ\sigma )of 2.If the z score was calculated to be -1.3, what is the value of x?

A)58.7
B)61.3
C)62.6
D)57.4
E)54.7
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49
If x, the time (in minutes)to complete an oil change job at a certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in less than 17 minutes, i.e., P(x < 17)is ___.

A)0.500
B)0.300
C)0.000
D)0.250
E)1.000
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50
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ( σ\sigma )of 1.What is P(z < -2.1)?

A)0.4821
B)-0.4821
C)0.9821
D)0.0179
E)-0.0179
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51
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ( σ\sigma )of 1.What is P(z > 2.4)?

A)0.4918
B)0.9918
C)0.0082
D)0.4793
E)0.0820
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52
Let z be a normal random variable with mean 0 and standard deviation 1.The 75th percentile of z is most closely reflected by ___.

A)0.6700
B)-1.254
C)0.0000
D)1.2800
E)0.5000
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53
Let z be a normal random variable with mean ( μ\mu )equal to 0 and standard deviation ( σ\sigma )of 1.What is P(z < 1.3)?

A)0.4032
B)0.9032
C)0.0968
D)0.3485
E)0.5485
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54
The total area underneath any normal curve is equal to ___.

A)the mean
B)one
C)the variance
D)the coefficient of variation
E)the standard deviation
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55
Let z be a normal random variable with mean ( μ\mu )0 and standard deviation ()of 1.The 50th percentile of z is most closely reflected by ___.

A)0.6700
B)-1.254
C)0.0000
D)1.2800
E)0.5000
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56
The normal distribution is an example of ___.

A)a discrete distribution
B)a continuous distribution
C)a bimodal distribution
D)an exponential distribution
E)a binomial distribution
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57
If x is a normal random variable with mean ( μ\mu )equal to 80 and a standard deviation ( σ\sigma )of 5, the z score for x = 88 is ___.

A)1.8
B)-1.8
C)1.6
D)-1.6
E)8.0
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58
A z score is the number of ___ that a value, x, is from the mean.

A)variances
B)standard deviations
C)units
D)miles
E)minutes
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59
Within a range of z scores from -1 to +1, you can expect to find ___ per cent of the values in a normal distribution.

A)95
B)99
C)68
D)34
E)100
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60
Suppose x is a normal random variable with mean ( μ\mu )equal to 60 and standard deviation ( σ\sigma )of 2.If the z score was calculated to be 3.4, what is the value of x?

A)63.4
B)56.6
C)68.6
D)53.2
E)66.8
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61
The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.What is the probability that a randomly selected bulb would last fewer than 940 hours?

A)0.3849
B)0.8849
C)0.1151
D)0.6151
E)0.6563
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62
The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.What is the probability that a randomly selected bulb would last longer than 1,150 hours?

A)0.4987
B)0.9987
C)0.0013
D)0.5013
E)0.5513
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63
Let x be a binomial random variable with n=35 and p=.20.If we use the normal distribution to approximate probabilities for this, we would use a mean of _______.

A)35
B)20
C)70
D)7
E)3.5
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64
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.The z-score for x = 46 is ________.

A)1.0
B)-1.0
C)11
D)-11
E).10
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65
The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.What is the probability that a randomly selected bulb would last less than 1,100 hours?

A)0.4772
B)0.9772
C)0.0228
D)0.5228
E)0.5513
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66
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.A z score of 3.4 was calculated.What is the value of x?

A)37.4
B)72.4
C)0.00
D)68.0
E)20.8
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67
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes and a z score of 0 was calculated.What is the value of x?

A)-35.0
B)0.0
C)70.0
D)35.0
E)-1.0
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68
Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life between 30,000 and 50,000 kilometres?

A)0.5000
B)0.4772
C)0.9544
D)0.9772
E)1.0000
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69
A recent market study has determined that the probability that a young adult would be willing to try a new online financial service that your company is offering is 50%.In a random sample of 10 young adults, the probability that exactly 5 will be willing to try this new service is _________, and the approximate probability (using the normal distribution is)_________.

A)0.251; 0.246
B)0.246; 0.242
C)0.246; 0.248
D)0.249; 0.251
E)0.248; 0.246
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70
Let x be a binomial random variable with n=50 and p=.3.If we use the normal distribution to approximate probabilities for this, a correction for continuity should be made.To find the probability of more than 15 successes, we should find _______.

A)P(x>15.5)
B)P(x>15)
C)P(x>14.5)
D)P(x<14.5)
E)P(x < 15)
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71
A recent market study has determined that the probability that a young adult would be willing to try a new online financial service that your company is offering is 50%.In a random sample of 10 young adults, the approximate probability that at least 2 but no more than 3 will be willing to try this new service is _________.

A)0.1575
B)0.1612
C)0.1775
D)0.1812
E)0.1975
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72
Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life of at most 30,000 kilometres?

A)0.5000
B)0.4772
C)0.0228
D)0.9772
E)1.0000
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73
Let x be a binomial random variable with n=50 and p=.3.The probability of less than or equal to 13 successes, when using the normal approximation for binomial is most closely reflected by ________.

A)-0.6172
B)0.3086
C)3.240
D)0.3217
E)-0.23224
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74
Suppose you are working with a data set that is normally distributed with a mean of 400 and a standard deviation of 20.Determine the value of x such that 60% of the values are greater than x.

A)404.5
B)395.5
C)405.0
D)395.0
E)415.0
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75
Most graduate business schools require applicants to take the GMAT.Scores on this test are approximately normally distributed with a mean of 545 points and a standard deviation of 100 points.What score do you need to be in the top 5% (approximately the scores needed for top schools)?

A)718
B)716
C)714
D)712
E)710
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76
Completion time (from start to finish)of a building remodelling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days.To be 99% sure that we will not be late in completing the project, we should request a completion time of ___ work-days.

A)211
B)207
C)223
D)200
E)250
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77
Within a range of z scores from -2 to +2, you can expect to find ___ per cent of the values in a normal distribution.

A)95
B)99
C)68
D)34
E)100
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78
Suppose the total time to fill a routine prescription at a local pharmacy averages 35 minutes starting from the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.A z score of -1.3 was calculated.What is the value of x?

A)20.7
B)0.0
C)-14.3
D)14.3
E)-20.7
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79
Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life of at least 50,000 kilometres?

A)0.0228
B)0.9772
C)0.5000
D)0.4772
E)1.0000
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80
Completion time (from start to finish)of a building remodelling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days.The probability that the project will be completed within 185 work-days is ___.

A)0.0668
B)0.4332
C)0.5000
D)0.9332
E)0.9950
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