Normal distribution head-scratcher

AI Thread Summary
The discussion revolves around calculating the probability that the difference in exam scores between two randomly selected students exceeds 5 marks, given a normal distribution with a mean of 63 and a standard deviation of 21. Participants suggest defining a new random variable Y = X1 - X2, which has a mean of 0 and a standard deviation of sqrt(2) * 21. To find P(Y > 5), they recommend standardizing Y using the Z-score formula. The calculations lead to determining the probability using a Z-table, with an emphasis on the high standard deviation indicating a significant probability for the difference exceeding 5 marks. The conversation highlights the application of properties of normal distributions in solving the problem.
Mglafas
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Homework Statement



A study investigates the performance of students in an exam, which is known to follow a normal distribution, with a mean of 63 and a standard deviation of 21.

What is the probability that the difference between two randomly selected
students is more than 5 marks?

Homework Equations



P(|x1-x2|>5)


Any ideas? Many thanks :)
 
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Mglafas said:

Homework Statement



A study investigates the performance of students in an exam, which is known to follow a normal distribution, with a mean of 63 and a standard deviation of 21.

What is the probability that the difference between two randomly selected
students is more than 5 marks?

Homework Equations



P(|x1-x2|>5)Any ideas? Many thanks :)

Try using

Y=X1-X2 as a new random variable with mean 0 and standard deviation of sqrt(2)*21

P(Y>5)
Z=(Y-mean)/std

P(Z>.052) = 1-P(Z<.052)

so now you can find the values in a z-table.

I haven't thought of the other case in which X2>X1, but this is at least how you should think about the question.

With such a high deviation intuitively you should be getting a high probability.
 
Last edited:
korican04 said:
Try using

Y=X1-X2 as a new random variable with mean 0 and standard deviation of sqrt(2)*21

P(Y>5)
Z=(Y-mean)/std

P(Z>.052) = 1-P(Z<.052)

so now you can find the values in a z-table.

I haven't thought of the other case in which X2>X1, but this is at least how you should think about the question.

With such a high deviation intuitively you should be getting a high probability.

How did you get 0.052? Mean=0, SD= sqrt(42)?
 
For normal distributions you can use the properties if X1 and X2 are two independent random variables then Y=aX1+bX2 is a random variable with normal distribution and mean a*u1+b*u2 and variance a^2*sigma1^2+b^2*sigma2^2

So in our case Y=X1-X2, mean = 1*63+-1*63=0
variance = 1^2*(21^2)+(-1)^2*(21^2)=21^2+21^2=2*21^2
std=sqrt(2)*21

P(Y>5)
You can't look this up. so you look up Z which is (Y-mean)/std.
 
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