Consider a small shop with only one checkout counter. The arrivals of customers are distributed throughout the day such that a line rarely forms at the counter. Suppose the arrival times of customers at the counter follows the Exponential Distribution: X ~ Еap(0.4). 0.4 0.3 0.2 0.1 0.0 0.0 2.5 5.0 7.5 10.0 12.5 15.0 a. What is the mean time (in minutes) between customers? b. Determine the following probability. P(2 < X < 10) = (x)

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Consider a small shop with only one checkout counter. The arrivals of customers are distributed throughout
the day such that a line rarely forms at the counter. Suppose the arrival times of customers at the counter
follows the Exponential Distribution: X
Еap(0.4).
0.4
0.3
3 0.2
0.1
0.0
0.0
2.5
5.0
7.5
10.0
12.5
15.0
a. What is the mean time (in minutes) between customers?
b. Determine the following probability.
P(2 < X < 10)
Transcribed Image Text:Consider a small shop with only one checkout counter. The arrivals of customers are distributed throughout the day such that a line rarely forms at the counter. Suppose the arrival times of customers at the counter follows the Exponential Distribution: X Еap(0.4). 0.4 0.3 3 0.2 0.1 0.0 0.0 2.5 5.0 7.5 10.0 12.5 15.0 a. What is the mean time (in minutes) between customers? b. Determine the following probability. P(2 < X < 10)
Suppose X - U(2, 7). Determine P(X > 6 | X > 5).
Note: This is a very challenging problem.
Transcribed Image Text:Suppose X - U(2, 7). Determine P(X > 6 | X > 5). Note: This is a very challenging problem.
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