Combining statistics from two distributions

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Combining statistics from two distributions for the same parameter is feasible if certain conditions are met. If the distributions are assumed to be normal, the upper tolerance limit (UTL) can be calculated using the mean and an estimated standard deviation derived from the range of values. The standard deviation can be approximated as half the distance between the mean and the UTL. A weighted average, using inverse variances as weights, can effectively combine the UTLs from both populations. This approach allows for the creation of a single UTL for the combined population based on the available summary statistics.
mclovin
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Is it possible to combine statistics from two distributions for the same parameter. For example I have one distribution for X from population A and a second distribution for X from population B. I want to assume all data is from the same population. I have calculated UTLs(Upper tolerance limits) for each population but need a single, combined utl for a combined population. The catch is I don't have the original data, only the calculated statistics.
 
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How is that upper tolerance limit defined?
If you have some data about the distribution of the expected parameter (like mean+standard deviation and the assumption of a Gaussian distribution), you can combine both.
 
According to the summary stats it is a normal distribution and the UTL is the 95% Upper tolrance Limit. i have the range of values and the artithmetic mean. No std dev.
 
In that case, the standard deviation is just ~1/2 of the distance between mean and UTL. You can combine both values with a weighted average (the formula should be somewhere at wikipedia or on other pages. The weights are just the inverse variances.).
 
Thank you. I will follow up on this.
 
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