Normal distribution probability question

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SUMMARY

The discussion centers on calculating the middle 40% of scores in a normal distribution with a mean of 500 and a standard deviation of 100. The correct approach involves using z-scores, where z1 is calculated as 0.525 and z2 as -0.525. The resulting scores corresponding to these z-scores are 447.5 and 552.5, confirming that the middle 40% of the distribution lies between these values. The method applied is validated by other participants, affirming its correctness.

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fobster
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Got a question I need a little bit of help.

Assume the scores on an aptitude are normally distributed with mean=500 and standard deviation=100

What is the middle 40%?

My workings

p(x1≤x≤x2)=p(z1≤z≤z2)

=> p(z1≤z≤z2)=p(z≤z2)-p(z≥z1)=p(z≤z2)-[1-p(z≤z1)]

p(z≤z2)=0.7 p(z≤z1)=0.3
from statistical tables
=> z2= -0.525 z1= 0.525

z1=(x-500)/100=0.525 => x=500+52.5=552.5

z2=(x-500)/100=-0.525 => x=500-52.5=447.5

therefore the middle 40% is between 447.5 and 552.5.

Now my question. Is that the correct method and approach, it is a bonus if I got it right. I only want to check the method really. Thanks.
 
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I think it's correct.

Normal distribution is given [tex]\frac 1 {\sigma \sqrt{\pi}} exp(-(x-\mu)^2/\sigma^2)[/tex], where [tex]\mu[/tex] is the mean and [tex]\sigma[/tex] is the standard deviation.

I looked at table and center 20% probability is (standard deviation)*(between 0.52 and 0.53)

So your calculation looks fine. :smile:
 
Last edited:

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