A company has designed a coffee vending machine which fills 210 ml coffee in each cup, on average. You are supposed to perform find some statistics as a part of quality control department. If the amount of drink dispensed regularly from this machine is normally distributed with a standard deviation equal to 13.5 ml,
a) What percentage of the cups will contain more than 231 ml?
b) What would be the chance that a cup will contain between 180 and 220 ml?
c) Calculate the number of cups that will have a probability to overflow if 235 ml cups are used for 900 drinks sold at any random day?
d) If only less than 15% cups are overflowed, what would the cutoff filling volume be?
Let "X=" the amount of coffee in a cup: "X\\sim N(\\mu, \\sigma^2)."
Given "\\mu=210\\ ml, \\sigma=13.5\\ ml."
a)
"=1-P(Z\\leq \\dfrac{14}{9})\\approx0.0599"
6% of the cups will contain more than 231 ml.
b)
"=P(Z<\\dfrac{220-210}{13.5})-P(Z\\leq\\dfrac{180-210}{13.5})"
"0.757441"
c)
"P(X>235)=1-P(Z\\leq\\dfrac{235-210}{13.5})""=1-P(Z\\leq\\dfrac{50}{27})\\approx0.032024"
"0.032024(900)=29"
"29" cups
d)
"P(Z\\leq\\dfrac{x-210}{13.5})=0.85"
"\\dfrac{x-210}{13.5}\\approx1.036433"
"x=224"
"224" ml.
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