A metal part used in cars is manufactured with a mean diameter of 2.565 cm and a standard deviation of 0.008 cm. Knowing the diameter is Normally distributed, find the probability that a random sample of n=9 sections of a metal part will have a sample mean diameter greater than 2.560cm and less than 2.570 cm.
= 2.565
= 0.008
n = 9
SE = /
= 0.008/ = 0.0027
To find P(2.56 < < 2.57):
Case 1: For from 2.565 to mid value:
Z = (2.56 -2.565)/0.0027 = - 1.8519
Table of Area Under Standard Normal Curve gives area = 0.4678
Case 2: For
from mid value to 2.57:
Z = (2.57 - 2.565)/0.0027 = 1.8519
Table gives area = 0.4678
So,
P(2.56 < < 2.57) =2 X 0.4678 = 0.9356
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