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A manufacturer of bolts has a​ quality-control policy that requires it to destroy any bolts that are more than 4 standard deviations from the mean. The​ quality-control engineer knows that the bolts coming off the assembly line have mean length of 12 cm with a standard deviation of 0.05 cm. For what lengths will a bolt be​ destroyed?
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Part 1
Select the correct choice below and fill in the answer​ box(es) to complete your choice.
​(Round to one decimal place as​ needed.)
A.
A bolt will be destroyed if the length is less than enter your response here cm or greater than enter your response here cm.
B.
A bolt will be destroyed if the length is greater than enter your response here cm.
C.
A bolt will be destroyed if the length is between enter your response here cm and enter your response here cm.
D.
A bolt will be destroyed if the length is less than enter your response here cm.

Respuesta :

Using the normal distribution, it is found that the lengths for which a bolt will be destroyed are given by:

A. A bolt will be destroyed if the length is less than 11.8 cm or greater than 12.2 cm.

Normal Probability Distribution

The z-score of a measure X of a normally distributed variable with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex] is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

[tex]\mu = 12, \sigma = 0.05[/tex]

The bounds within 4 standard deviations of the mean are [tex]Z = \pm 4[/tex], hence:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]-4 = \frac{X - 12}{0.05}[/tex]

X - 12 = -4 x 0.05

X = 11.8

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]4 = \frac{X - 12}{0.05}[/tex]

X - 12 = 4 x 0.05

X = 12.2

Hence:

A. A bolt will be destroyed if the length is less than 11.8 cm or greater than 12.2 cm.

More can be learned about the normal distribution at https://brainly.com/question/4079902

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