www.g The physical plant at the main campus of a large state university recieves daily requests to replace fluorescent lightbulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 40 and a standard deviation of 8. Using the empirical rule, what is the approximate percentage of lightbulb replacement requests numbering between 24 and 40

Respuesta :

Answer:

[tex] z=\frac{24-40}{8}=-2[/tex]

[tex] z=\frac{40-40}{8}=0[/tex]

And then the percentage between 24 and 40 would be [tex]\frac{95}{2}= 47.5 \%[/tex]

Step-by-step explanation:

For this problem we have the following parameters given:

[tex] \mu = 40, \sigma =8[/tex]

And for this case we want to find the percentage of lightbulb replacement requests numbering between 24 and 40.

From the empirical rule we know that we have 68% of the values within one deviation from the mean, 95% of the values within 2 deviations and 99.7% within 3 deviations.

We can find the number of deviations from themean for the limits with the z score formula we got:

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

And replacing we got:

[tex] z=\frac{24-40}{8}=-2[/tex]

[tex] z=\frac{40-40}{8}=0[/tex]

And then the percentage between 24 and 40 would be [tex]\frac{95}{2}= 47.5 \%[/tex]

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