The weights of certain machine components are normally distributed with a mean of 8.01 g and a standard deviation of 0.06 g. Find the two weights that separate the top 3% and the bottom 3%. These weights could serve as limits used to identify which components should be rejected. Round to the nearest hundredth of a gram. 8.00 g and 8.02 g 7.88 g and 8.17 g 7.98 g and 8.04 g 7.90 g and 8.12 g

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Answer:

Option D) 7.90 g and 8.12 g

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 8.01 g

Standard Deviation, σ = 0.06 g

We are given that the distribution of weights is a bell shaped distribution that is a normal distribution.

Formula:

[tex]z_{score} = \displaystyle\frac{x-\mu}{\sigma}[/tex]

We have to find the value of x such that the probability is 0.03

P(X > x)  

[tex]P( X > x) = P( z > \displaystyle\frac{x - 8.01}{0.06})=0.03[/tex]  

[tex]= 1 -P( z \leq \displaystyle\frac{x - 8.01}{0.06})=0.03 [/tex]  

[tex]=P( z \leq \displaystyle\frac{x - 8.01}{0.06})=0.97 [/tex]  

Calculation the value from standard normal z table, we have,  

[tex]\displaystyle\frac{x - 8.01}{0.06} = 1.881\\\\x = 8.12[/tex]  

Thus, 8.17 g separates the top 3% of the weights.

P(X < x)  

[tex]P( X < x) = P( z < \displaystyle\frac{x - 8.01}{0.06})=0.03[/tex]  

Calculation the value from standard normal z table, we have,  

[tex]\displaystyle\frac{x - 8.01}{0.06} = -1.881\\\\x = 7.90[/tex]  

Thus, 7.90 separates the bottom 3% of the weights.

Thus, the correct answer is

Option D) 7.90 g and 8.12 g