
James F. answered 06/20/14
Tutor
5
(6)
Data Scientist and former Statistics Professor
All you need to know to answer this question is that if you take your normal random variable (call it X) and we subtract the mean and divide by the standard deviation, you'll be left with a Normal(0,1) random variable). Once you get a N(0,1), you can use a normal distribution table or software to calculate the probabilities.
For example, let's say X~Normal with mean 50 and standard deviation 5.
P(40 < X < 60) = P(40-50 < X-50 < 60-50) <--subtract the mean
= P[(40-50)/5 < (X-50)/5 < (60-50)/5] <--divide by the standard deviation
= P[-2 < Z < 2] <---Z is Normal(0,1)
Now we can use a Normal table:
P[-2 < Z < 2] = P(Z < 2) - P(Z < -2) <--since most tables use the left tail probabilities.
= .97725 - .02275 = .9545
Try using this technique on the problem you posted and let me know if you have any more questions!

James F.
Can you show me some of your work on it? Maybe I can help you figure out why your answer doesn't match.
J.T.
Report
06/21/14
Sharihan T.
06/21/14