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A business woman wants to open a coffee stand across the street from a competing coffee company. She notices that the competing company has an average of 170 customers each day, with a standard deviation of 45 customers. Suppose she takes a random sample of 31 days. Identify the following to help her decide whether to open her coffee stand, rounding to the nearest whole number when necessary:

μ =_____customers per day
σ =_____customers per day
n =____
μ-x =____
σ-x =_____customers per day

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Answer:

μ = 170 customers per day

σ = 45 customers per day

n = 31


\mu_x = 170


\sigma_x = 8

Explanation:

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
\mu and standard deviation
\sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
\mu and standard deviation
s = (\sigma)/(√(n)).

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

She notices that the competing company has an average of 170 customers each day, with a standard deviation of 45 customers.

This means that
\mu = 170, \sigma = 45

Suppose she takes a random sample of 31 days.

This means that
n = 31

For the sample:

By the Central Limit Theorem, the mean is
\mu_x = 170 and the standard deviation is
\sigma_x = (45)/(√(31)) = 8

User Peter N Lewis
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