A manager of a popular retail store knows that the distribution of purchase amounts by its customers is approximately normal with a mean of $30 and a standard deviation of $9. Below you will find normal probability and percentile calculations related to the customer purchase amounts.
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Probability Calculations
P(Sales < $ 15.00) = 0.048, P(Sales < $ 20.00) = 0.133
P(Sales < $ 25.00) = 0.289, P(Sales < $ 35.00) = 0.711
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PercentilesCalculations
1st Percentile = $9.06, 5th Percentile = $15.20
95th Percentile = $44.80, 99th Percentile = $50.94
What is the probability that a randomly selected customer will spend $30 or more?

What will be an ideal response?


0.50

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