Prof Double R - Business Work

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Question 1

1. The length of time it takes for Gandolf's fireworks to explode after they are launched is presumed to be uniformly distributed. If the length of time it takes them to explode occurs over the interval of 10 to 25 seconds, inclusive, then what is the probability that it will take less than 20 seconds for one to explode after it is launched? 

0.80

0.40

0.67

1.00

5 points  

Question 2

1. The length of time it takes for Gandolf's fireworks to explode after they are launched is presumed to be uniformly distributed. If the length of time it takes them to explode occurs over the interval of 10 to 25 seconds, inclusive, then what is the probability that it will take BETWEEN 20 and 22 seconds for one to explode after it is launched? 

0.08

0.88

0.13

0.20

5 points  

Question 3

1. A carload of steel rods has arrived at Cybermatic Construction Company. The car contains 50,000 rods. Claude Ong, manager of Quality Assurance, directs his crew measure the lengths of 100 randomly selected rods. If the population of rods has a mean length of 120 inches and a standard deviation of 0.05 inch, the probability that Claude's sample has a mean greater than 120.0125 inches is ___________ .

0.0124

0.0062

0.4938

0.9752

1.0000

5 points  

Question 4

1. During the past six months, 73.2% of US households purchased sugar. Assume that these expenditures are approximately normally distributed with a mean of $8.22 and a standard deviation of $1.10. Find the probability that a household spent less than $5.00

.9983

0.000

1.00

0.0017

5 points  

Question 5

1. If the population proportion is 0.90 and a sample of size 64 is taken, what is the probability that the sample proportion is more than 0.89?

0.1064

0.2700

0.3936

0.6064

0.9000

5 points  

Question 6

1. Suppose that the waiting time for a license plate renewal at a local office of a state motor vehicle department has been found to be normally distributed with a mean of 30 minutes and a standard deviation of 8 minutes. Suppose that in an effort to provide better service to the public, the director of the local office is permitted to provide discounts to those individuals whose waiting time exceeds a predetermined time. The director decides that 15% of the customers should receive this discount. What are the numbers of minutes they need to wait to receive the discount?

34.48

21.68

38.32

25.52

5 points  

Question 7

1. The chief chemist for a major oil/gasoline production company claims that the regular unleaded gasoline produced by the company contains on average 4 ounces of a certain ingredient. The chemist further states that the distribution of this ingredient per gallon of regular unleaded gasoline is normal and has a standard deviation of 1.2 ounces. What is the probability of finding an average in excess of 4.3 ounces of this ingredient from randomly inspected 100 gallons of regular unleaded gasoline?

.5987

.4013

.9938

.0062

5 points  

Question 8

1. The flying time of a drone airplane has a normal distribution with mean 4.76 hours and standard deviation of .04 hours. What is the probability that the drone will fly: More than 4.80 hours?

.1587

.8413

.6587

/3413

5 points  

Question 9

1. The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are delinquent more than 90 days overdue. The historical records of the company show that over the past 8 years 13 percent of the accounts are delinquent. For this quarter, the auditing staff randomly selected 250 customer accounts. What is the probability that no more than 40 accounts will be classified as delinquent?

42.07 %

92.07 %

7.93 %

40.15 %

90.15%

5 points  

Question 10

1. While conducting experiments, a marine biologist selects water depths from a uniformly distributed collection that vary between 2.00 m and 7.00 m. What is the probability that a randomly selected depth is less than 3.60 m?

.72

.80

.46

.32

5 points  

Question 11

1. A population has a mean of 53 and a standard deviation of 21. A sample of 49 observations will be taken. The probability that the sample mean will be greater than 57.95 is

0

.0495

.4505

.9505

5 points  

Question 12

1. 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?

100

118

197

53

5 points  

Question 13

1. 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?

41.00%

12.62%

3.59%

85.00%

5 points  

Question 14

1. Suppose the population of all public Universities shows the annual parking fee per student is $110 with a standard deviation of $18. If a random sample of size 49 is drawn from the population, the probability of drawing a sample with a mean of more than $115 is _______.

0.9738

0.4738

0.0262

0.6103

0.1103

5 points  

Question 15

1. Suppose 40% of the population of pre-teens have a TV in their bedroom. If a random sample of 500 pre-teens is drawn from the population, then the probability that 44% or fewer of the pre-teens have a TV in their bedroom is _______.

0.9644

0.4644

0.0356

0.0400

0.9600

5 points  

Question 16

1. Suppose 40% of the population of pre-teens have a TV in their bedroom. If a random sample of 500 pre-teens is drawn from the population, then the probability that between 36% and 44% of the pre-teens have a TV in their bedroom is _______.

0.9644

0.4644

0.0356

0.9328

0.0712

5 points  

Question 17

1. Bones Brothers & Associates prepare individual tax returns. Over prior years, Bones Brothers has maintained careful records regarding the time to prepare a return. The mean time to prepare a return is 90 minutes and the standard deviation of this distribution is 14 minutes. Suppose 100 returns from this year are selected and analyzed regarding the preparation time. What is the standard error of the mean?

14 minutes

140 minutes

1.4 minutes

90 minutes

5 points  

Question 18

1. Bones Brothers & Associates prepare individual tax returns. Over prior years, Bones Brothers has maintained careful records regarding the time to prepare a return. The mean time to prepare a return is 90 minutes and the standard deviation of this distribution is 14 minutes. Suppose 100 returns from this year are selected and analyzed regarding the preparation time. What is the probability that the mean time for the sample of 100 returns for this year is greater than 92?

Approximately zero

0.0832

0.4168

0.0764

5 points  

Question 19

1. Bones Brothers & Associates prepare individual tax returns. Over prior years, Bones Brothers has maintained careful records regarding the time to prepare a return. The mean time to prepare a return is 90 minutes and the standard deviation of this distribution is 14 minutes. Suppose 100 returns from this year are selected and analyzed regarding the preparation time. What is the probability that the mean time for the sample of 100 returns is between 88 minutes and 92 minutes?

Approximately 1

0.1664

0.8336

0.8472

5 points  

Question 20

1. The Intelligence Quotient (IQ) test scores for adults are normally distributed with a mean of 100 and a standard deviation of 15. What is the probability we could select a sample of 50 adults and find the mean of this sample is less than 95?

0.0091

0.9818

0.4909

0.9544

5 points  

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