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foot locker uses sales per square foot as a measure of store productivity last year the mean annual sales per square foot was 390 with a standar deviation of 45.83. suppose you take a random sample of 49 foot locker stores operating last year. there is a 82% probability that th esample mean annual sales per square foot is at least $

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Answer:

There is a 82% probability that th esample mean annual sales per square foot is at least $384.

Step-by-step explanation:

We have a population with mean 390 and standard deviation 45.83.

Samples of size n=49 are taken.

The parameters of the sampling distribution are:

[tex]\mu_s=\mu=390\\\\ \sigma_s=\dfrac{\sigma}{\sqrt{n}}=\dfrac{45.83}{\sqrt{49}}=\dfrac{45.83}{7}=6.547[/tex]

First, we have to calculate the z-score that satisfies:

[tex]P(z>z^*)=0.82[/tex]

This z-score, looked up in a standard normal distribution table, is z=-0.915.

Then, we can calculate the sample mean as:

[tex]M=\mu_s+z\cdot\sigma_s=390+(-0.915)\cdot 6.547=390-6=384[/tex]

There is a 82% probability that th esample mean annual sales per square foot is at least $384.

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