Answer: 0.8186
Step-by-step explanation:
Given: Mean : [tex]\mu=1.01\text{ inch}[/tex]
Standard deviation : [tex]\sigma=0.003\text{ inch}[/tex]
Sample size : [tex]n=9[/tex]
The formula to calculate z-score :-
[tex]z=\dfrac{X-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]
For x=1.009 inch
[tex]z=\dfrac{1.009-1.01}{\dfrac{0.003}{\sqrt{9}}}=-1[/tex]
For x=1.012 inch
[tex]z=\dfrac{1.012-1.01}{\dfrac{0.003}{\sqrt{9}}}=2[/tex]
Now, The p-value =[tex]P(-1<z<2)=P(2)-P(-1)=0.9772498-0.1586553=0.8185945\approx0.8186[/tex]
Hence, the required probability = 0.8186