Question #98393
Customers using a self-service soda dispenser take an average of 12 ounces of soda with an SD of 2 ounces. Assume that the amount would be normally distributed.

What is the probability that a randomly selected customer takes over 10 ounces of soda?
What is the probability that a randomly selected customer takes between 13 to 14 ounces of soda?
How many of the next 100 customers will take an average of less than 12.24 ounces?
1
Expert's answer
2019-11-11T13:25:21-0500

Let X=X= the number of ounces of soda: XN(μ,σ2)X\sim N(\mu, \sigma^2)

Then


Z=XμσN(0,1)Z={X-\mu \over \sigma}\sim N(0,1)

Given that μ=12 ounces,σ=2 ounces\mu=12 \ ounces , \sigma=2\ ounces


P(X>10)=1P(X10)=1P(Z10122)=P(X>10)=1-P(X\leq 10)=1-P(Z\leq {10-12 \over 2})=

=1P(Z1)10.1586550.8413=1-P(Z\leq -1)\approx1-0.158655\approx0.8413

The probability that a randomly selected customer takes over 10 ounces of soda is 0.84130.8413


P(13<X<14)=P(X<14)P(X<13)=P(13<X<14)=P(X<14)-P(X<13)=


=P(Z<14122)P(Z<13122)==P(Z< {14-12 \over 2})-P(Z< {13-12 \over 2})=

=P(Z<1)P(Z<0.5)0.8413480.691462=P(Z< 1)-P(Z<0.5)\approx0.841348-0.691462\approx

0.1499\approx0.1499

The probability that a randomly selected customer takes between 13 to 14 ounces of soda is 0.14990.1499


Given that n=100n=100


P(X<12.24)=P(Z<12.24122/100)=P(Z<1.2)P(X<12.24)=P(Z<{12.24-12 \over 2/\sqrt{100}})=P(Z<1.2)\approx

0.8849\approx0.8849

0.8849100=88.49880.8849\cdot100=88.49\approx88

88 of the next 100 customers will take an average of less than 12.24 ounces.



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Comments

Assignment Expert
17.11.19, 16:55

Dear Lucheveleri Hanningtone Sore, You are welcome. We are glad to be helpful. If you liked our service, please press a like-button beside the answer field. Thank you!

Lucheveleri Hanningtone Sore
16.11.19, 10:24

Commendable work, thanks for your help.

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