Chapter 4: Q168SE (page 281)
Assume that xhas an exponential distribution with.
Find
a.
b.
c.
d.
e.
Short Answer
- role="math" localid="1660277023394"
- role="math" localid="1660277013921"
Chapter 4: Q168SE (page 281)
Assume that xhas an exponential distribution with.
Find
a.
b.
c.
d.
e.
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Get started for freeElevator passenger arrivals. A study of the arrival process of people using elevators at a multilevel office building was conducted and the results reported in Building Services Engineering Research and Technology (October 2012). Suppose that at one particular time of day, elevator passengers arrive in batches of size 1 or 2 (i.e., either 1 or 2 people arrive at the same time to use the elevator). The researchers assumed that the number of batches, n, arriving over a specific time period follows a Poisson process with mean . Now let xn represent the number of passengers (either 1 or 2) in batch n and assume the batch size has probabilities . Then, the total number of passengers arriving over a specific time period is . The researchers showed that if are independent and identically distributed random variables and also independent of n, then y follows a compound Poisson distribution.
a. Find , i.e., the probability of no arrivals during the time period. [Hint: y = 0 only when n = 0.]
b. Find , i.e., the probability of only 1 arrival during the time period. [Hint: y = 1 only when n = 1 and .]
Variable speed limit control for freeways. A common transportation problem in large cities is congestion on the freeways. In the Canadian Journal of Civil Engineering (January 2013), civil engineers investigated the use of variable speed limits (VSL) to control the congestion problem. A portion of an urban freeway was divided into three sections of equal length, and variable speed limits were posted (independently) in each section. Probability distributions of the optimal speed limits for the three sections were determined. For example, one possible set of distributions is as follows (probabilities in parentheses). Section 1: 30 mph (.05), 40 mph (.25), 50 mph (.25), 60 mph (.45); Section 2: 30 mph (.10), 40 mph (.25), 50 mph (.35), 60 mph (.30); Section 3: 30 mph (.15), 40 mph (.20), 50 mph (.30), 60 mph (.35).
The binomial probability distribution is a family of probability distributions with every single distribution depending on the values of n and p. Assume that x is a binomial random variable with n = 4.
Ages of “dot-com” employees. The age (in years) distribution for the employees of a highly successful “dot-com” company headquartered in Atlanta is shown in the next table. An employee is to be randomly selected from this population.
Hotels’ use of ecolabels. Refer to the Journal of Vacation Marketing (January 2016) study of travelers’ familiarity with ecolabels used by hotels, Exercise 2.64 (p. 104). Recall that adult travelers were shown a list of 6 different ecolabels, and asked, “Suppose the response is measured on a continuous scale from 10 (not familiar at all) to 50 (very familiar).” The mean and standard deviation for the Energy Star ecolabel are 44 and 1.5, respectively. Assume the distribution of the responses is approximately normally distributed.
a. Find the probability that a response to Energy Star exceeds 43.
b. Find the probability that a response to Energy Star falls between 42 and 45.
c. If you observe a response of 35 to an ecolabel, do you think it is likely that the ecolabel was Energy Star? Explain.
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