#451 A day’s sales in $1000 units at a gas station
A day’s sales in $1000 units at a gas station - Math
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A day’s sales in $1000 units at a gas station have a gamma distribution with parameters k = 5 and λ = 0.9.
(a) What is the expectation of a day’s sales?
(b) What is the standard deviation of a day’s sales?
(c) What are the upper and lower quartiles of a day’s sales?
(d) What is the probability that a day’s sales are more than $6000?
(This problem is continued in Problem.)
Problem
Recall Problem in which a day’s sales in $1000 units at a gas station have a gamma distribution with k = 5 and λ = 0.9. If the sales on different days are distributed independently of each other, estimate the probability that in one year the gas station takes in more than $2 million.
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Step 1 of 5
A day’s sales in $1000 units (X) at a gas station have a gamma distribution with parameters and .
The probability distribution of X is given as follows:
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Step 2 of 5
(a)
The expectation of gamma distribution is given by .
Therefore, the expectation of a day’s sales is calculated as follows:
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Step 3 of 5
(b)
The standard deviation of gamma distribution is given by .
Therefore, the standard deviation of a day’s sales is calculated as follows:
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Step 4 of 5
(c)
The upper quartile is given as follows:
The requirement is thus to obtain such that 75% of the data points are below X.
The upper quantile in EXCEL is obtained by formula , which gives the result 6.97159.
Hence, the upper quantile is .
The lower quartile is given as follows:
The requirement is thus to obtain such that 25% of the data points are below X.
The lower quantile in EXCEL is obtained by formula , which gives the result 3.742889.
Hence, the lower quantile is .
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Step 5 of 5
(d)
The probability that a day’s sales are more than $6000 is calculated as follows:
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