Answer:
[tex]P(X<29.1)=P(\frac{X-\mu}{\sigma}<\frac{29.1-\mu}{\sigma})=P(Z<\frac{29.1-29}{0.1})=P(z<1)[/tex]
And we can find this probability using the normal standard distribution, excel or a calculator and we got:
[tex] P(z<1) =0.8413[/tex]
And if we convert this into percent we got 84.13% rounded to the nearest percent would be:
84%
Step-by-step explanation:
Let X the random variable that represent the circumferences of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(29,0.1)[/tex]
Where [tex]\mu=29[/tex] and [tex]\sigma=0.1[/tex]
We are interested on this probability
[tex]P(X<29.1)[/tex]
And the best way to solve this problem is using the normal standard distribution and the z score given by:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
If we apply this formula to our probability we got this:
[tex]P(X<29.1)=P(\frac{X-\mu}{\sigma}<\frac{29.1-\mu}{\sigma})=P(Z<\frac{29.1-29}{0.1})=P(z<1)[/tex]
And we can find this probability using the normal standard distribution, excel or a calculator and we got:
[tex] P(z<1) =0.8413[/tex]
And if we convert this into percent we got 84.13% rounded to the nearest percent would be:
84%