SOLUTION: in one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050kWh and a standard deviation of 218 kWh. Find

Algebra ->  Probability-and-statistics -> SOLUTION: in one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050kWh and a standard deviation of 218 kWh. Find      Log On


   



Question 1135859: in one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050kWh and a standard deviation of 218 kWh. Find P45, which is the consumption level separating the bottom 45% from the top 55%
Answer by Theo(13342) About Me  (Show Source):
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in one region, september energy consumption levels for single family homes are normally distributed with a mean of 1050 kwh and a standard deviation of 218 kwh.

you are looking for p(45) which is the consumption level separating the bottom 45% from the top 55%.

you are looking for the z-score that has 45% of the area under the normal distribution curve to the left of it.

formula for z-score is z = (x-m)/s

z is the z-score.
x is the raw score.
m is the mean.
s is the standard deviation.

best to use a z-score calculator rather than looking this up in the z-score table.

one calculator that can be used is the one at https://homepage.stat.uiowa.edu/~mbognar/applets/normal.html

using this calculator, you would leave the mean at 0 and the standard deviation at 1 and select p(X < x) and then enter .45 in the red box.

once you hit the return, it will tell you that x = -0.12566 in the white box.

if you left mean at 0 and standard deviation at 1, then that's your z-score.

here's a display of the results from using this calculator.

$$$

you would then find the raw score by using the z-score formula of z = (x-m)/s

z is the z-score.
x is the raw score.
m is the raw score mean.
s is the raw score standard deviation.

solve for x to get x = z * s + m.

when z = -.12566 and s = 218 and m = 1050, you would get x = -.12566 * 218 + 1050 = 1022.60612.

that tells you that 1022.60612 kwh separates the bottom 45% from the top 55%.

visually, this looks like what's shown in the following two graphs.

first graph shows 45% in bottom half (area to the left of 1022.60612 kwh)

$$$

second graph shows 55% in the top half (area to the right of 2022.60612 kwh).

$$$

there's some internal truncating going on in the graphing software, so the raw score shows as 1022.606 rather than 1022.60612 which has a small impact on the displayed results using the graphing calculator.

your solution is that the consumption level separating the bottom 45% from the top 55% is equal to 1022.60612 when using the referenced normal distribution calculator at https://homepage.stat.uiowa.edu/~mbognar/applets/normal.html