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The manufacturing of a ball bearing is normally distributed with a mean diameter of 22 millimeters and a standard deviation of .016 millimeters. To be acceptable the diameter needs to be between 21.97 and 22.03 millimeters. a. What is the probability that a randomly selected ball bearing will be acceptable

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Answer:

0.1507 or 15.07%.

Explanation:

We have been given that the manufacturing of a ball bearing is normally distributed with a mean diameter of 22 millimeters and a standard deviation of .016 millimeters. To be acceptable the diameter needs to be between 21.97 and 22.03 millimeters.

First of all, we will find z-scores for data points using z-score formula.


z=(x-\mu)/(\sigma), where,

z = z-score,

x = Sample score,


\mu = Mean,


\sigma = Standard deviation.


z=(21.97-22)/(0.016)


z=(-0.03)/(0.016)


z=-0.1875

Let us find z-score of data point 22.03.


z=(22.03-22)/(0.016)


z=(0.03)/(0.016)


z=0.1875

Using probability formula
P(a<z<b)=P(z<b)-P(z<a), we will get:


P(-0.1875<z<0.1875)=P(z<0.1875)-P(z<-0.1875)


P(-0.1875<z<0.1875)=0.57535-0.42465


P(-0.1875<z<0.1875)=0.1507

Therefore, the probability that a randomly selected ball bearing will be acceptable is 0.1507 or 15.07%.

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