The amount of gasoline G sold each month to customers at Bob's Exxon station in downtown Navasota is a random variable. This random variable G can be described as having a normal distribution with mean 2500 gallons and a standard deviation of 250 gallons (and there is no seasonal variation in sales). Exxon will give Bob an all-expense paid trip to College Station, including a free dinner at Burger King, if his station pumps more than 3000 gallons in any one month.


Required:

What is the probability that Bob will win that wonderful trip on the basis of his gasoline sales this month?

Respuesta :

Answer:

The probability is [tex]0.0228[/tex]

Step-by-step explanation:

Let's start by defining the random variable [tex]G[/tex] as :

[tex]G:[/tex] '' The amount of gasoline sold each month to customers at Bob's Exxon station in downtown Navasota ''

Therefore, if [tex]X[/tex] is a continuous random variable that has a normal distribution, we write [tex]X[/tex] ~ [tex]N[/tex] ( μ , σ )

Where ''μ'' is the mean and ''σ'' is the standard deviation.

For the random variable [tex]G[/tex] we write :

[tex]G[/tex] ~ [tex]N(2500,250)[/tex]

We need to find [tex]P(G>3000)[/tex]

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

[tex]Z[/tex] ~ [tex]N(0,1)[/tex]

We perform this because the random variable [tex]Z[/tex] ~ [tex]N(0,1)[/tex] 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 ⇒

[tex]P(G>3000)[/tex] ⇒ P[ (G - μ) / σ > [tex]\frac{3000-2500}{250}[/tex] ] ⇒ [tex]P(Z>2)[/tex]

Because (G - μ) / σ  ~ [tex]Z[/tex]

Finally, [tex]P(G>3000)=P(Z>2)[/tex] ⇒ [tex]P(Z>2)=1-P(Z\leq 2)[/tex] = 1 - Φ(2)

Where '' Ф(x) = [tex]P(X\leq x)[/tex] '' represents the cumulative function of [tex]Z[/tex]

Looking for  Φ(2) in any table,

[tex]P(G>3000)=P(Z>2)=1-P(Z\leq 2)=1-0.9772=0.0228[/tex] ≅ %2.28

We found out that the probability is [tex]0.0228[/tex]