Deck 7: Continuous Probability Distributions

Question 1

Non-stop Airlines determined that the mean number of passengers per flight is 152 with a standard deviation of ten passengers. Practically all flights have between 142 and 162 passengers.

Answer 1

False

Question 2

Some normal probability distributions are positively skewed.

Answer 2

FAL SE

Question 3

The upper and lower limits of a uniform probability distribution are

A) positive and negative infinity.
B) plus and minus three standard deviations.
C) 0 and 1.
D) the maximum and minimum values of the random variable.

Answer 3

D

Question 4

The mean of any uniform probability distribution is

A) (b - a)/2
B) (a + b)/2
C)
D) n $\pi$

Question 5

The standard normal distribution is a special normal distribution with a mean of 0 and a standard deviation of 1.

Question 6

The area under the normal curve within plus and minus one standard deviation of the mean is about 68.26%.

Question 7

The shape of any uniform probability distribution is

A) Negatively skewed
B) Positively skewed
C) Rectangular
D) Bell shaped

Question 8

The exponential distribution is a probability distribution for a random variable measured as a rate of an event occurring.

Question 9

For any uniform probability distribution, the mean and standard deviation can be computed by knowing the maximum and minimum values of the random variable.

Question 10

The number of different standard normal distributions is unlimited.

Question 11

For the exponential distribution, the mean and standard deviation are equal.

Question 12

For a uniform probability distribution, the probability of any event is equal to 1/(b-a).

Question 13

The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the mean?

A) 120 minutes
B) 150 minutes
C) 135 minutes
D) 270 minutes

Question 14

The z-scores for X values greater than the mean are negative.

Question 15

The normal distribution can be used to approximate a binomial distribution when n $\pi$ is less than 5.

Question 16

In a uniform probability distribution, P(x) is constant between the distribution's minimum and maximum values.

Question 17

When referring to the normal probability distribution, there is not just one; there is a "family" of distributions.

Question 18

The standard deviation of any uniform probability distribution is

A) (b - a)/2
B) n(1 - $\pi$ )
C)
D)

Question 19

A "continuity correction factor" is used to compute probabilities when using the normal distribution to approximate the binomial distribution.

Question 20

Some normal probability distributions have equal arithmetic means, but their standard deviations may be different.

Question 21

What is the area under the normal curve between z = 0.0 and z = 1.79?

A) 0.4633
B) 0.0367
C) 0.9599
D) 0.0401

Question 22

A new extended-life light bulb has an average service life of 750 hours, with a standard deviation of 50 hours. If the service life of these light bulbs approximates a normal distribution, about what percent of the distribution will be between 600 hours and 900 hours?

A) 95%
B) 68%
C) 34%
D) 99.7%

Question 23

For the normal distribution, the mean plus and minus 1.96 standard deviations will include about what percent of the observations?

A) 50%
B) 99.7%
C) 95%
D) 68%

Question 24

Which of the following is true regarding the normal distribution?

A) Mean, median and mode are all equal
B) It has two modes
C) It is asymmetrical
D) The points of the curve meet the X-axis at z = -3 and z = 3

Question 25

An accelerated life test on a large number of type-D alkaline batteries revealed that the mean life for a particular use before they failed is 19.0 hours. The distribution of the lives approximated a normal distribution. The standard deviation of the distribution was 1.2 hours. About 95.44 percent of the batteries failed between what two values?

A) 8.9 and 18.9
B) 12.2 and 14.2
C) 14.1 and 22.1
D) 16.6 and 21.4

Question 26

What is an important similarity between the uniform and normal probability distributions?

A) The mean, median and mode are all equal.
B) The mean and median are equal.
C) They are negatively skewed.
D) About 68% of all observations are within one standard deviation of the mean.

Question 27

A study of a company's practice regarding the payment of invoices revealed that an invoice was paid an average of 20 days after it was received. The standard deviation equaled five days. Assuming that the distribution is normal, what percent of the invoices were paid within 15 days of receipt?

A) 15.87%
B) 37.91%
C) 34.13%
D) 86.74%

Question 28

The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the probability that a flight is more than 140 minutes?

A) 1.00
B) 0.5
C) 0.333 minutes
D) 10 minutes

Question 29

The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the probability that a flight is between 125 and 140 minutes?

A) 1.00
B) 0.5
C) 0.333 minutes
D) 10 minutes

Question 30

What is the area under the normal curve between z = -1.0 and z = -2.0?

A) 0.0228
B) 0.3413
C) 0.1359
D) 0.4772

Question 31

The mean of a normally distributed group of weekly incomes of a large group of executives is $1,000 and the standard deviation is $100. What is the z-score for an income of $1,100?

A) 1.00
B) 2.00
C) 1.683
D) -0.90

Question 32

The mean amount spent by a family of four on food per month is $500 with a standard deviation of $75. Assuming that the food costs are normally distributed, what is the probability that a family spends less than $410 per month?

A) 0.2158
B) 0.8750
C) 0.0362
D) 0.1151

Question 33

The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the standard deviation?

A) 8.66 minutes
B) 75 minutes
C) 135 minutes
D) 270 minutes

Question 34

For a standard normal distribution, what is the probability that z is greater than 1.75?

A) 0.0401
B) 0.0459
C) 0.4599
D) 0.9599

Question 35

What is the area under the normal curve between z = 0.0 and z = 2.0?

A) 1.0000
B) 0.7408
C) 0.1359
D) 0.4772

Question 36

The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the probability that a flight is less than 135 minutes?

A) 1.00
B) 0.5
C) 15 minutes
D) 270 minutes

Question 37

The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. What is the area between 415 pounds and the mean of 400 pounds?

A) 0.5000
B) 0.1932
C) 0.4332
D) 0.3413

Question 38

The mean score of a college entrance test is 500; the standard deviation is 75. The scores are normally distributed. What percent of the students scored below 320?

A) About 50.82%
B) About 34.13%
C) About 7.86%
D) About 0.82%

Question 39

Which of the following is a characteristic of the normal probability distribution?

A) Positively-skewed
B) Bell-shaped
C) Asymmetrical
D) Rectangular

Question 40

What is the percentage of the total area under the normal curve within plus and minus two standard deviations of the mean?

A) 68.26%
B) 99.74%
C) 34.13%
D) 95.44%

Question 41

An analysis of the grades on the first test in History 101 revealed that they approximate a normal curve with a mean of 75 and a standard deviation of 8. The instructor wants to award the grade of A to the upper 10 percent of the test grades. What is the dividing point between an A and a B grade?

A) 80
B) 85
C) 90
D) 95

Question 42

The standard normal probability distribution is unique because it has:

A) A mean of 1 and any standard deviation
B) Any mean and a standard deviation of 1
C) A mean of 0 and any standard deviation
D) A mean of 0 and a standard deviation of 1

Question 43

What is a normal distribution with a mean of 0 and a standard deviation of 1 called?

A) Frequency distribution
B) Z-score
C) Standard normal distribution
D) Binomial probability distribution

Question 44

A national manufacturer of unattached garages discovered that the distribution of the lengths of time it takes two construction workers to erect the Red Barn model is normally distributed with a mean of 32 hours and a standard deviation of 2 hours. What percent of the garages take between 32 and 34 hours to erect?

A) 16.29%
B) 76.71%
C) 3.14%
D) 34.13%

Question 45

A cola-dispensing machine is set to dispense a mean of 2.02 liters into a container labeled 2 liters. Actual quantities dispensed vary and the amounts are normally distributed with a standard deviation of 0.015 liters. What is the probability a container will have less than 2 liters?

A) 0.0918
B) 0.3413
C) 0.1926
D) 0.8741

Question 46

Tables of normal distribution probabilities are found in many statistics books. These probabilities are calculated from a normal distribution with

A) a mean of 1 and a standard deviation of 1
B) a mean of 100 and a standard deviation of 15
C) a mean of 0 and a standard deviation of 15
D) a mean of 0 and a standard deviation of 1

Question 47

Two normal distributions are compared. One has a mean of 10 and a standard deviation of 10. The second normal distribution has a mean of 10 and a standard deviation of 2. Which of the following is true?

A) The locations of the distributions are different
B) The distributions are from two different families of distributions
C) The dispersions of the distributions are different
D) The dispersions of the distributions are the same

Question 48

The weekly mean income of a group of executives is $1000 and the standard deviation of this group is $100. The distribution is normal. What percent of the executives have an income of $925 or less?

A) About 15%
B) About 85%
C) About 50%
D) About 23%

Question 49

The employees of Cartwright Manufacturing are awarded efficiency ratings. The distribution of the ratings approximates a normal distribution. The mean is 400, the standard deviation 50. What is the area under the normal curve between 400 and 482?

A) 0.5000
B) 0.4495
C) 0.3413
D) 0.4750

Question 50

Which of the following is true in a normal distribution?

A) The mean equals zero.
B) Mode and the 3^rd quartile are equal.
C) Mean divides the distribution into two equal parts.
D) The area under the curve is 0.68.

Question 51

The seasonal output of a new experimental strain of pepper plants was carefully weighed. The mean weight per plant is 15.0 pounds, and the standard deviation of the normally distributed weights is 1.75 pounds. Of the 200 plants in the experiment, how many produced peppers weighing between 13 and 16 pounds?

A) 100
B) 118
C) 197
D) 53

Question 52

The total area of a normal probability distribution is

A) between -3.0 and 3.0.
B) 1.00.
C) dependent on a value of 'z'.
D) approximated by the binomial distribution.

Question 53

The annual commissions per salesperson employed by a manufacturer of light machinery averaged $40,000 with a standard deviation of $5,000. What percent of the sales persons earn between $32,000 and $42,000?

A) 60.06%
B) 39.94%
C) 34.13%
D) 81.66%

Question 54

In an illustration of a normal probability distribution, a shaded area represents

A) a permutation
B) a combination
C) a probability
D) a standard deviation

Question 55

A random variable from an experiment where outcomes are normally distributed

A) can have any value between - $\infty$ and + $\infty$ .
B) can have only a few discrete values.
C) can have a mean of 0 and a standard deviation of 1.
D) can have no values.

Question 56

The weight of cans of fruit is normally distributed with a mean of 1,000 grams and a standard deviation of 50 grams. What percent of the cans weigh 860 grams or less?

A) 0.0100
B) 0.8400
C) 0.0026
D) 0.0001

Question 57

The distribution of the annual incomes of a group of middle management employees approximated a normal distribution with a mean of $37,200 and a standard deviation of $800. About 68 percent of the incomes lie between what two incomes?

A) $30,000 and $40,000
B) $36,400 and $38,000
C) $34,800 and $39,600
D) $35,600 and $38,800

Question 58

The mean of a normal probability distribution is 500 and the standard deviation is 10. About 95 percent of the observations lie between what two values?

A) 475 and 525
B) 480 and 520
C) 400 and 600
D) 350 and 650

Question 59

Ball-Bearings, Inc. produces ball bearings automatically on a Kronar BBX machine. For one of the ball bearings, the mean diameter is set at 20.00 mm (millimeters). The standard deviation of the production over a long period of time was computed to be 0.150 mm. What percent of the ball bearings will have diameters 20.27 mm or more?

A) 41.00%
B) 12.62%
C) 3.59%
D) 85.00%

Question 60

A large manufacturing firm tests job applicants who recently graduated from college. The test scores are normally distributed with a mean of 500 and a standard deviation of 50. Management is considering placing a new hire in an upper level management position if the person scores in the upper 6 percent of the distribution. What is the lowest score a college graduate must earn to qualify for a responsible position?

A) 50
B) 625
C) 460
D) 578

Question 61

How is the standard deviation of a uniform distribution computed? _________

Question 62

The mean amount of gasoline and services charged by Key Refining Company credit customers is $70 per month. The distribution of amounts spent is approximately normal with a standard deviation of $10. What is the probability of selecting a credit card customer at random and finding the customer charged between $70 and $83?

A) 0.1962
B) 0.4032
C) 0.3413
D) 0.4750

Question 63

A binomial distribution has 50 trials (n = 50) with a probability of success of 0.50 ( $\pi$ =0.50). To use the normal distribution to approximate the binomial, what are the mean and standard deviation?

A) µ = 25 and $\sigma$ = 3.5355
B) µ =25 and $\sigma$ = 12.5
C) µ =25 and $\sigma$ = 4.33
D) µ =50 and $\sigma$ = 100

Question 64

The average score of 100 students taking a statistics final was 70 with a standard deviation of 7. Assuming a normal distribution, what is the probability that a student scored 90 or higher?

A) 0.4979
B) 0.0021
C) 0.9979
D) 2.86

Question 65

If an average of 12 customers is served per hour, what is the probability that the next customer will arrive in 6 minutes or less?

A) 0.61
B) 0.30
C) 0.70
D) 0.39

Question 66

Suppose a tire manufacturer wants to set a mileage guarantee on its new XB 70 tire. Tests revealed that the tire's mileage is normally distributed with a mean of 47,900 miles and a standard deviation of 2,050 miles. The manufacturer wants to set the guaranteed mileage so that no more than 5 percent of the tires will have to be replaced. What guaranteed mileage should the manufacturer announce?

A) 44,528
B) 32,960
C) 49,621
D) 40,922

Question 67

The shape of the uniform distribution is ____________.

Question 68

Management is considering adopting a bonus system to increase production. One suggestion is to pay a bonus on the highest 5 percent of production based on past experience. Past records indicate that, on the average, 4,000 units of a small assembly are produced during a week. The distribution of the weekly production is approximately normally distributed with a standard deviation of 60 units. If the bonus is paid on the upper 5 percent of production, the bonus will be paid on how many units or more?

A) 6255
B) 5120
C) 3196
D) 4099

Question 69

The average score of 100 students taking a statistics final was 70 with a standard deviation of 7. Assuming a normal distribution, what is the probability that a student scored greater than 65?

A) 0.2611
B) 0.2389
C) 0.7611
D) -0.714

Question 70

A binomial distribution has 100 trials (n = 100) with a probability of success of 0.25 ( $\pi$ =0.25). We would like to find the probability of 34 or more successes using the normal distribution to approximate the binomial. Applying the continuity correction factor, what z-score should be used?

A) 2.079
B) 2.194
C) 1.963
D) 0.25

Question 71

A binomial distribution has 100 trials (n = 100) with a probability of success of 0.25 ( $\pi$ =0.25). To apply the normal distribution to approximate the binomial, what are the mean and standard deviation?

A) µ = 100 and $\sigma$ = 0.25
B) µ =25 and $\sigma$ = 100
C) µ =25 and $\sigma$ = 4.33
D) µ =100 and $\sigma$ = 2500

Question 72

The average score of 100 students taking a statistics final was 70 with a standard deviation of 7. Assuming a normal distribution, what test score separates the top 5% of the students from the lower 95% of students?

A) 81.48
B) 90.00
C) 83.72
D) 78.96

Question 73

If an average of 60 customers are served per hour, then one customer arrives every

A) 1 minute
B) 60 minutes
C) 12 minutes
D) 10 minutes

Question 74

How is the expected value of a uniform distribution computed? __________

Question 75

The average score of 100 students taking a statistics final was 70 with a standard deviation of 7. Assuming a normal distribution, what test score separates the top 25% of the students from the lower 75% of students?

A) 70.00
B) 74.69
C) 65.31
D) 75.25

Question 76

If an average of 12 customers are served per hour, then one customer arrives every

A) 12 minutes
B) 60 minutes
C) 5 minutes
D) 10 minutes

Question 77

A binomial distribution has 50 trials (n = 50) with a probability of success of 0.50 ( $\pi$ =0.50). We would like to find the probability of 34 or more successes using the normal distribution to approximate the binomial. Applying the continuity correction factor, what z-score should be used?

A) 2.404
B) 2.546
C) 2.687
D) 0.50

Question 78

If an average of 12 customers is served per hour, what is the probability that the next customer will arrive in 3 minutes or less?

A) 0.55
B) 0.30
C) 0.45
D) 0.39

Question 79

A binomial distribution has 100 trials (n = 100) with a probability of success of 0.25 ( $\pi$ =0.25). We would like to find the probability of 75 or more successes using the normal distribution to approximate the binomial. Applying the continuity correction factor, what value would be used to calculate a z-score?

A) 74.5
B) 75
C) 75.5
D) 25

Question 80

If an average of 12 customers is served per hour, what is the probability that the next customer will arrive in 3 minutes or more?

A) 0.55
B) 0.30
C) 0.45
D) 0.39