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%.

Step-by-step 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.

[tex]z=\frac{x-\mu}{\sigma}[/tex], where,

z = z-score,

x = Sample score,

[tex]\mu[/tex] = Mean,

[tex]\sigma[/tex] = Standard deviation.

[tex]z=\frac{21.97-22}{0.016}[/tex]

[tex]z=\frac{-0.03}{0.016}[/tex]

[tex]z=-0.1875[/tex]

Let us find z-score of data point 22.03.

[tex]z=\frac{22.03-22}{0.016}[/tex]

[tex]z=\frac{0.03}{0.016}[/tex]

[tex]z=0.1875[/tex]

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

[tex]P(-0.1875<z<0.1875)=P(z<0.1875)-P(z<-0.1875)[/tex]

[tex]P(-0.1875<z<0.1875)=0.57535-0.42465[/tex]  

[tex]P(-0.1875<z<0.1875)=0.1507[/tex]

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