Suppose that the waiting time for a pizza to be ready at a local pizzeria has been found to be normally distributed with a mean of 15 minutes and a standard deviation of 7 minutes. Suppose that in an effort to provide better service to the customers, the manager has decided to provide discounts to those individuals whose waiting time exceeds a predetermined time. The manager decides that 15% of the customers should receive this discount. What are the number of minutes they need to wait to receive the discount?

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Answer:

If the waiting time exceeds 22.52 minutes, the customer will receive the discount.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 15 minutes

Standard Deviation, σ = 7 minutes

We are given that the distribution of waiting time is a bell shaped distribution that is a normal distribution.

Formula:

[tex]z_{score} = \displaystyle\frac{x-\mu}{\sigma}[/tex]

We have to find the value of x such that the probability is 0.15

P(X > x) = 0.15

[tex]P(z>\displaystyle\frac{x-15}{7}) = 0.15\\\\1 - P(z<\displaystyle\frac{x-15}{7}) = 0.15\\\\P(z<\displaystyle\frac{x-15}{7}) = 0.85[/tex]

Calculating the value from standard normal table, we have,

[tex]P(z<1.036) = 0.85[/tex]

Comparing, we get,

[tex]\displaystyle\frac{x-15}{7} = 1.036\\\\x = 22.252 \approx 22.52[/tex]

If the waiting time exceeds 22.52 minutes, the customer will receive the discount.

The number of minutes they need to wait to receive the discount is approximately 22

Probability and normal distribution

The formula for calculating the z score is expressed as:

[tex]z =\frac{x-\mu}{\sigma}[/tex]

Given the following parameters;

P(X > x) = 0.15

[tex]p(z < \frac{x-15}{7})=1-0.15\\ p(z < \frac{x-15}{7})=0.85\\[/tex]

According to the standard table;

[tex]p(z < 1.036)=0.85\\[/tex]

[tex]\frac{x-15}{7} =1.036[/tex]

Solve the expression for the value of x

x - 15  = 7(1.036)
x - 15 = 7.252

x = 15 + 7.252
x = 22.352

Hence the number of minutes they need to wait to receive the discount is approximately 22

Learn more on normal distribution here: https://brainly.com/question/4079902

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