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