Stats: Normal distribution, std dev, mean z score -- find x

AI Thread Summary
To find the number that is greater than or equal to 99% of occurrences in a set of random numbers, one must first determine the mean and standard deviation of the distribution. Assuming a uniform distribution between 1 and 100, the mean is approximately 50.5 and the standard deviation can be calculated from the variance. The z-score for 99% is 2.576, which can be used in the formula x = (stdev * z) + mean to find the desired value. Understanding the underlying distribution is crucial for accurate calculations.
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Homework Statement


So the question is, given a set of random numbers, find the mean and the value that will be >= 99% of the occurances. So for a set of random numbers between say, 1-100, if the mean is 50, how do I find out what number will be >= 99% of all observations of the time.

Havent taken stats in a long time. No book provided.

Homework Equations



99% has a z score of 2.576
Somehow I have to turn that into a number using standard deviation.

The Attempt at a Solution


z=(x-m)/stdev
x=(stdev*z)+mean
is x the number I am looking for?

Thanks all!
 
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What do you mean by "random numbers between say, 1-100"? That is, what probability distribution are you assuming for choosing the random numbers? Most likely, you are assuming all numbers are "equally likely" so that you are using the "uniform distribution" on numbers 1-100. According to Quora (https://www.quora.com/What-is-the-mean-and-variance-of-uniform-distribution) the uniform distribution on 1-100 has mean (100+1)/2= 50.5 and variance (100- 1)^2/12= 816.75, so standard deviation sqrt(816.75).
 
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