A manufacturer knows that their items have a normally distributed length, with a mean of 10.8 inches, and standard deviation of 0.9 inches.If one item is chosen at random, what is the probability that it is less than 8.4 inches long?

Respuesta :

We need to find the probability:

[tex]P(X<8.4)[/tex]

where X is a normal random variable with mean 10.8 and standard deviation 0.9. To find this probability we need to use the z-score formula so we can use the standard normal distribution. The z-score is given by:

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

where μ is the mean and σ is the standard deviation. In this case the z-score is given as:

[tex]\begin{gathered} z=\frac{8.4-10.8}{0.9} \\ z=-2.67 \end{gathered}[/tex]

Then we have that:

[tex]P(X<8.4)=P(z<-2.67)[/tex]

Looking for the probability on the right side of the previous expression in the standard table we have that:

[tex]P(X\lt8.4)=P(z\lt-2.67)=0.0038[/tex]

Therefore, the probability of choosing an item with length less than 8.4 inches is 0.0038

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