Central Limit Theorem and probability

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Homework Help Overview

The discussion revolves around calculating the probability that the average of 150 random points from the interval (0,1) is within 0.02 of the midpoint of the interval. The subject area includes probability theory and the Central Limit Theorem.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the need to compute the mean and variance of a uniformly distributed random variable and how to apply these to find the probability using the Central Limit Theorem. There are attempts to standardize the probability expression and questions about the limits used in the calculations.

Discussion Status

Some participants have provided guidance on calculating the mean and variance, while others express confusion about the application of these concepts to compute the required probability. Multiple interpretations of the problem are being explored, and there is ongoing clarification of the steps taken so far.

Contextual Notes

Participants are working under the constraints of homework rules, which may limit the amount of direct assistance they can receive. There are indications of uncertainty regarding the limits for integration and the final probability value.

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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?


Homework Equations





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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