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Normal Distributions: purchase amounts by customers

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Suppose it is known that the distribution purchase amounts by customers entering a popular retail store is approximately normal with mean $25 and standard deviation $8.

a. What is the probability that a randomly selected customer spends less than $35 at the store?

b. What is the probability that a randomly selected customer spends between $15 and $35 at the store?

c. What is the probability that a randomly selected customer spends more than $10 at the store?

d. Find the dollar amount such that 75% of all customers spend no more than this amount.

e. Find the dollar amount such that 80% of all customers spend at least this amount.

f. Find two dollar amounts, equidistant from the mean of $25, such that 90% of all customers are between these values.

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The solution calculates probabilities using normal distribution.

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Suppose it is know that the distribution purchase amounts by customers entering a popular retail store is approximately normal with mean $25 and standard deviation $8.
a. What is the probability that a randomly selected customer spends less than $35 at the store?
Mean=M= $25
Standard deviation =s= $8
x= $35
z=(x-M)/s= 1.25 =(35-25)/8
Cumulative Probability corresponding to z= 1.25 is= 0.8944
Or Probability corresponding to x< 35.00 is Prob(Z)= 0.8944 0r= 89.44%

Answer: 0.8944 0r 89.44%

b. What is the probability that a randomly selected customer spends between $15 and $35 at the store?

Mean=M= $25
Standard deviation ...

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