In: Statistics and Probability
X: The amount of shampoo filled in a bottle
X follows a Normal distribution with mean = 205 and standard deviation : = 2
a.
Let be the new mean amount of shampoo filled to a bottle be to ensure that no more than 0.15% of the bottles will overflow in the filling process
A bottle filled with more than 210 ml of shampoo will overflow
i.e
P(X > 210) = 1 - P(X 210) = 0.15
P(X 210) = 1-0.15 = 0.85
Z1 : Z-score for 210
P(X 210) =P(Z Z1) = 0.85
i.eZ1 = (210 - ) / = (210-)/2
i.e = 210 - 2Z1
From Standard Normal tables find Z1 such that P(Z Z1) = 0.85
Z1 = 1.035
= 210 -2 Z1 = 210-2x1.035 = 207.93
The new mean to be 207.93
b.
If X follows a Normal Distribution with mean and standard deviation , then the Sampling Distribution of sample mean follows a normal distribution with mean and standard deviation (n : sample size)
Given,
bottles are packaged into sets of 16 bottles; i.e sample size n : 16
mean volume i.e follows normal with mean 205 and standard deviation
Probability that these packages would have a mean volume exceeding 204 ml = P( > 204)
P( > 204) = 1-P(204)
P(204)
Z-score for 204 = (204 - 205)/0.5 = -2
P(Z-2) = 0.0228
P(204) = P(Z-2) = 0.0228
P( > 204) =1-P(204) = 1- 0.0228 = 0.9772
Probability that these packages would have a mean volume exceeding 204 ml = P( > 204) = 0.9772
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Not sure whether to use new mean or old mean:
In case new mean to be used then,
mean volume i.e follows normal with mean 207.93 and standard deviation
Probability that these packages would have a mean volume exceeding 204 ml = P( > 204)
P( > 204) = 1-P(204)
P(204)
Z-score for 204 = (204 - 207.93)/0.5 = -7.86
P(Z-7.86) = 0.000
P(204) = P(Z-7.86) = 0.0000
P( > 204) =1-P(204) = 1- 0.0000 = 1.000
Probability that these packages would have a mean volume exceeding 204 ml = P( > 204) = 1.0000