Central Limit Theorem and probability

WHB3
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Homework Statement



What is the probability that the average of 150 random points from the interval (0,1) is within .02 of the midpoint of the interval?


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The Attempt at a Solution



I need to determine P(.48<((X1...X150)/150)<.52). I think I need to compute the variance and ultimately work out the two limits to integrate using the standard integral for a normal distribution. However, I have no idea how to accomplish this.
 
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you shoudl be able to find an initial mean & variance for your unifromly distributed single random variable, start from the definition of mean & variance

use this single random variable mean & variance & the number of samples to compute a mean and variance for your average, assumming a normal distribution under CLT
 
It looks like the mean and variance of a uniformly distributed single random variable over the interval of (0,1) is .5 and 1/12 respectively. However, I am still stumped on how to use this information to compute the required probability. Any further suggestions on how to get
un-stumped?
 
Mean of sample = mean of population

Standard deviation of sample = standard deviation of population divided by square root of n

So, mean of sample = 0.5
S.d. of sample = (1/12)/square root of 150 = 0.006804

So, perform the standardization on P(.48<X bar)<.52) and you will get the probability. ;) Hope that helps. ;)
 
Thanks, but I am stilll stuck. The limits I am coming up with are +_.006 which don't result in the book answer which is .6046.
 
can you be a bit clearer with what you have done so far? will help to understand where you may be going wrong
 
In computing P(.48<Xbar<.52), I come up with,
+-.02/(sqrt(150)times(1/((sqrt(12))=+-.00565; I don't think that these are the correct limits for the integral.
 
I finally figured it out, guys. The Z value is between +-.848 which, assuming a normal distribution, gives P(.48<Xbar<.52) =.6046, which I think is correct. Thanks for the help!
 
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