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;;X=0=19RdA1dA9(tJdA9?'R)39+T,?'?'?'-=-=!3"!KFUPMTerm 041Date: 1/11/2004Mathematical SciencesSTAT 211Duration: 15 minutesQuiz# 4Name:ID#:Serial#:Section#:Show your work in detail and write neatly and eligibly
1. A manufacturing company makes three types of products. Each time it makes a product, the item can be either good or defective and it can be either customized or standard. The events consisting of customized and defective would be considered mutually exclusive since they apply to different attributes of the product. ( True , False )
Answer: False
2. A New Jersey company relies on a steady supply of power to keep its manufacturing going. Recently at a planning meeting, the general manager stated that the chance of a rolling blackout affecting production is 0.15. The controller stated that the chance of a rolling blackout is 0.30. The reason that the two probabilities are different is that these assessments were based on classical probability techniques. ( True , False )
Answer: False
3. A used car lot has 15 cars. Five of these cars were manufactured in the U.S. and the remainders were made in other countries. If three cars are purchased, the probability that all three will be U. S. made cars is approximately .022. ( True , False )
Answer: True
4. The following probability distribution was subjectively assessed for the number of sales a salesperson would make if they made five sales calls in one day.
Sales Probability
0 0.10
1 0.15
2 0.20
3 0.30
4 0.20
5 0.05
When the salesperson makes a sale, there are three possible sales levels: large, medium, and small. The probability of a large sale is 0.20 and the chance of a medium sale is 0.60. If a salesperson makes two sales, the probability that at least one is large is 0.36.
( True , False )
Answer: True
5. The time required for 10 employees to assemble two components into a finished part is recorded for each employee at the plant. The resulting random variable is an example of a continuous random variable. ( True , False )
Answer: True
6. The method of probability assessment that relies on an examination of historical data from similar situations is:
a. relative frequency of occurrence .
b. classical assessment.
c. historical assessment.
d. subjective assessment.
Answer: A
7. A study was recently done in which 500 people were asked to indicate their preferences for one of three products. The following table shows the breakdown of the responses by gender of the respondents.
Product Preference
Gender A B C
Male 80 20 10
Female 200 70 120
Based on these data, the probability that a person in the population will prefer product A can be assessed as:
a. 0.18
b. 0.56
c. 0.286
d. None of the above.
Answer: B
8. The managers of a local golf course have recently conducted a study of the types of golf balls used by golfers based on handicap. A joint frequency table for the 100 golfers covered in the survey is show below:
Type of Golf Ball
Handicap Strata Titleist Nike Other
< 2 5 8 3 2
2 < 10 8 7 9 10
> 10 7 8 10 23
If a player comes to the course using a Nike golf ball, the probability that he or she has a handicap of at least 10 is:
a. 0.22.
b. 0.48.
c. slightly greater than 0.45.
d. 0.10.
Answer: C
9. Harrison Water Sports has three retail outlets: Seattle, Portland, and Phoenix. The Seattle store does 50 percent of the total sales in a year, while the Portland store does 35 percent of the total sales. Further analysis indicates that of the sales in Seattle, 20 percent are in boat accessories. The percentage of boat accessories at the Portland store is 30 and the percentage is 25 at the Phoenix store. If a sales dollar is recorded as a boat accessory, the probability that the sale was made at the Portland store is:
a. slightly greater than 0.43.
b. 0.35.
c. 0.2425.
d. None of the above.
Answer: A
10. The following probability distribution has been assessed for the number of accidents that occur in a midwestern city each day:
Accidents Probability
0 0.25
1 0.20
2 0.30
3 0.15
4 0.10
Based on this probability distribution, the standard deviation in the number of accidents per day is:
a. 2.
b. 0.12.
c. 2.65.
d. None of the above.
Answer: D
With My Best Wishes
KFUPMTerm 041Date: 1/11/2004Mathematical SciencesSTAT 211Duration: 15 minutesQuiz# 4Name:ID#:Serial#:Section#: 1 2 4 Show your work in detail and write neatly and eligibly
1. If two events are independent, then by definition they must also be mutually exclusive.
( True , False )
Answer: False
2. During the past week, of the 250 customers at the Dairy Queen who ordered a Blizzard, 50 ordered strawberry. This means that of the next five Blizzard customers, exactly one will order strawberry. ( True , False )
Answer: False
3. The following probability distribution was subjectively assessed for the number of sales a salesperson would make if they made five sales calls in one day.
Sales Probability
0 0.10
1 0.15
2 0.20
3 0.30
4 0.20
5 0.05
When the salesperson makes a sale, there are three possible sales levels: large, medium, and small. The probability of a large sale is 0.20 and the chance of a medium sale is 0.60. Thus, when a sale is made, the chance of it being a small sale is 0.20. ( True , False )
Answer: True
4. The Baker Oil and Gas Company has four retail locations code named A, B, C, and D. The following table illustrates the percentage of total company sales at each store and also the percentage of customers at that store who make purchases with debit cards:
Store Proportion of Total Sales Proportion of Customers Using Debit
A 0.18 0.32
B 0.30 0.19
C 0.41 0.18
D 0.11 0.40
Based on this information, the probability that a customer who used a debit card shopped at store C is 0.0738. ( True , False )
Answer: False
5. The Ski Patrol at Criner Mountain Ski Resort has determined the following probability distribution for the number of skiers that are injured each weekend:
Injured Skiers Probability
0 0.05
1 0.15
2 0.40
3 0.30
4 0.10
Based on this information, the standard deviation for the number of injuries per weekend is 2.25. ( True , False ) Answer: False
6. Managers who are considering whether to order 1, 2, or 3 cases of a product will base their decision on the probability of selling a specified number of products. The probability would most likely be based on:
a. classical assessment.
b. subjective assessment.
c. relative frequency of occurrence.
d. Both b and c could be used depending on the situation.
Answer: D
7. A study was recently done in which 500 people were asked to indicate their preferences for one of three products. The following table shows the breakdown of the responses by gender of the respondents.
Product Preference
Gender A B C
Male 80 20 10
Female 200 70 120
Based on these data, the probability of selecting a female and that she prefers product C is:
a. 0.24.
b. approximately 0.90.
c. about 0.923.
d. approximately 0.31.
Answer: A
8. The managers of a local golf course have recently conducted a study of the types of golf balls used by golfers based on handicap. A joint frequency table for the 100 golfers covered in the survey is show below:
Type of Golf Ball
Handicap Strata Titleist Nike Other
< 2 5 8 3 2
2 < 10 8 7 9 10
> 10 7 8 10 23
Based on these data, the probability of someone using a Strata ball and having a handicap under 2 is:
a. 0.05.
b. 0.38.
c. 0.25.
d. None of the above.
Answer: A
9. Harrison Water Sports has three retail outlets: Seattle, Portland, and Phoenix. The Seattle store does 50 percent of the total sales in a year, while the Portland store does 35 percent of the total sales. Further analysis indicates that of the sales in Seattle, 20 percent are in boat accessories. The percentage of boat accessories at the Portland store is 30 and the percentage is 25 at the Phoenix store. Overall, the probability that a sale by Harrison Water Sports will be for a boat accessory is:
a. 0.105.
b. 0.2425.
c. 0.75.
d. None of the above.
Answer: B
10. A sales rep for a national clothing company makes 4 calls per day. Based on historical records, the following probability distribution describes the number of successful calls each day:
Successful Calls Probability
0 0.10
1 0.30
2 0.30
3 0.20
4 0.10
Based on this information, the probability that the sales rep will have two successful calls in a two-day period is:
a. 0.60.
b. 0.09.
c. 0.15.
d. 0.06.
Answer: C
With My Best Wishes
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