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Customers arrive at a fast-food restaurant with one server according to a Poisson process at a mean rate of 30 per hour. The server has just resigned, and the two candidates for the replacement are X (fast but expensive) and Y (slow but inexpensive). Both candidates would have an exponential distribution for service times, with X having a mean of 1.2 minutes and Y having a mean of 1.5 minutes. Restaurant revenue per month is given by $6,000/W, where W is the expected waiting time (in minutes) of a customer in the system. Determine the upper bound on the difference in their monthly compensations that would justify hiring X rather than Y.
question a student is taking two courses history and math.nbsp the probability the student will pass the history
two points are randomly on a line of length 14 so as to be on opposite sides of the midpoint of the line. in other
consider the following joint probability density function of the random variables x and y fxy 3x-y9 for 1ltxlt3 and
Use the applet to calculate the power of the test against the alternative u = 122. Can the test be relied on to detect a mean that differs from 128 by 6?
what is the probability of an event? what are mutually exclusive events? what does collectively exhaustive mean?how can
suppose that two cards are randomly selected from a standard 52-card deck. what is the probability that the first card
What would be the most appropriate graphical representation to show the dispersion of new home prices in a particular area? Why?
based on a survey for women aged 18 to 24 systolic blood pressures in mm hg are normally distributed with a mean of
q1.simulate 100 random normal variables with mean 1.5 and standard deviation 2. create a histogram which shows the data
An electric scale gives a reading equal to the true weight plus a random error that is normally distributed with mean 0 and standard deviation σ = .1 mg. Suppose that the results of five successive weighings of the same object are as follows: 3..
In a clinical study of an allergy drug, 112 of the 210 subjects reported experiencing significant relief from their symptoms. At the 0.01 significance level,
Find the proportion of female college students whose height is greater than 65 inches. Then find the proportion of female college students whose height is no more than 65 inches.
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