Answer:
The probability is

Explanation:
Let's start by defining the random variable
as :
'' The amount of gasoline sold each month to customers at Bob's Exxon station in downtown Navasota ''
Therefore, if
is a continuous random variable that has a normal distribution, we write
~
( μ , σ )
Where ''μ'' is the mean and ''σ'' is the standard deviation.
For the random variable
we write :
~
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We need to find

In order to calculate this, we are going to standardize the variable. This means, finding the equivalent probability in a normal random variable
~

We perform this because the random variable
~
is tabulated in any book or either you can find the table on Internet.
To standardize the variable we need to subtract the mean and then divide by the standard deviation ⇒
⇒ P[ (G - μ) / σ >
] ⇒

Because (G - μ) / σ ~

Finally,
⇒
= 1 - Φ(2)
Where '' Ф(x) =
'' represents the cumulative function of

Looking for Φ(2) in any table,
≅ %2.28
We found out that the probability is
