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anonymous
 one year ago
The scores on a test have a mean of 100 and a standard deviation of 15. If the manager wishes to only select the top 25% of test takers, what is the cutoff value? Assume the test results are normally distributed.
Wanna make sure I'm doing it right, cause it doesn't feel like it. The closest to 25% in simple Z scores I could get was 0.67, at .2486.
So plugging that into the equation of x gives me
(0.67*15) + 100 = x
110.05 = x
And since you can't get .05 of a point, the cutoff value would be 110.
anonymous
 one year ago
The scores on a test have a mean of 100 and a standard deviation of 15. If the manager wishes to only select the top 25% of test takers, what is the cutoff value? Assume the test results are normally distributed. Wanna make sure I'm doing it right, cause it doesn't feel like it. The closest to 25% in simple Z scores I could get was 0.67, at .2486. So plugging that into the equation of x gives me (0.67*15) + 100 = x 110.05 = x And since you can't get .05 of a point, the cutoff value would be 110.

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anonymous
 one year ago
Best ResponseYou've already chosen the best response.0I'm just worried that I should have taken 0.670.5 instead, since it's the latter half of the normal distribution chart, but that would make the answer closer to the mean, which wouldn't make sense if I'm looking for the top 25%.

kropot72
 one year ago
Best ResponseYou've already chosen the best response.1The zscore for a cumulative probability of 0.75 = 0.674 Rearranging the formula to find a zscore, we get: \[\large X=\mu+z \times \sigma\] Plugging in the given values gives \[\large X=100+0.674\times15=you\ can\ calculate\]

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Right. So I did it correctly, kropot72?

kropot72
 one year ago
Best ResponseYou've already chosen the best response.1You got the correct answer. However are you now clear on reading the standard normal distribution table?
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