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1. A direct marketing company believes that the probability of making a sale when a call is made to an individuals home is .02. The probability of making two or three sales in a sample of twenty calls is .0593.
Answer: True
2. If the mean, median and mode are all equal for a continuous random variable, then the random variable is normally distributed.
Answer: False
3. The manager of a movie theater has determined that the distribution of customers arriving at the concession stand is Poisson distributed with a standard deviation equal to 2 people per 10 minutes. If the servers can accommodate 3 customers in a 10minute period, what is the probability that a customer will have to wait for service?
a. 0.1804
b. 0.5665
c. 0.4335
d. 0.1954
Answer: B
4. It is assumed that the time failures for an electronic component are exponentially distributed with a mean of 50 hours. If two components are installed in a unit, one as a primary and one as a backup, what is the probability that at least one of the components will be functioning after 60 hours?
a. Approximately 0.09
b. About 0.51
c. Close to 0.21
d. None of the above.
Answer: B
5. A maker of potato chips has a quality standard that calls for no more than 7 broken chips per bag on average when the chips leave the plant. What is the possibility that an inspector opens two bags and finds 20 broken chips?
ANSWER:
In two bags, the expected number of broken chips is 14 if the standard is being met. The inspector found 20, and that exceeds the expectations. The Poisson distribution would likely be appropriate to use in this case to determine the probability of finding 20 or more broken chips. From the Poisson table with EMBED Equation.3 =14, the probability of X > 20 is 0.0765.
With My Best Wishes
KFUPMTerm 041Date: 6/12/2004Mathematical SciencesSTAT 211Duration: 15 minutesQuiz# 5Name:ID#:Section#: 1 2 4 Serial#:Show your work in detail and write neatly and eligibly
1. The makers of bread have a quality standard that calls for an average of 3 burned loaves per batch. Assuming that the average of three per batch is being met, the standard deviation for the number of burned loaves in 4 batches is approximately 1.73 loaves.
Answer: False
2. It has been determined the weight of bricks made by a company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.
Answer: True
3. Previous research shows that 60 percent of adults prefer CocaCola to Pepsi. Recently, an independent research firm questioned a random sample of 25 adults. The chance that 20 or more of these people will prefer CocaCola is:
a. essentially zero.
b. 0.0199.
c. 0.0293.
d. None of the above.
Answer: C
4. Assuming that the change in daily closing prices for stocks on the New York Stock Exchange is a random variable that is normally distributed with a mean of $0.35 and a standard deviation of $0.33. Based on this information, what is the probability that a randomly selected stock will be lower by $0.40 or more?
a. 2.27
b. 0.4884
c. 0.0116
d. 0.9884
Answer: C
5. At a store, customers arrive at the rate of 10 every 30 minutes. Given this, what is the mean time between arrivals?
ANSWER:
The time between arrivals is exponentially distributed. The parameter for the exponential distribution is lambda, EMBED Equation.3 . This was given as 10 per 30 minutes. Then the mean time between arrivals is EMBED Equation.3 . The value 0.10 represents the fraction of the 30 minutes that occurs between arrivals. Thus, the mean time between arrivals is 0.10(30 minutes) = 3 minutes. On average, customers arrive every 3 minutes.
With My Best Wishes
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