MHB Finding Method of Moments Estimates for Uniform Distribution Parameters

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To find the method of moments estimates for the parameters $\alpha$ and $\beta$ of a uniform distribution given the numbers 2, 3, 5, 9, and 10, one must equate the theoretical moments of the distribution with the sample moments derived from these numbers. The first moment corresponds to the mean, while the second moment relates to the variance. The discussion highlights the importance of understanding how to apply these concepts to derive estimates for $\alpha$ and $\beta$. A suggestion is made to consult a relevant wiki page for the necessary formulas. This approach aims to clarify the process of obtaining the estimates.
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The problem:

Let the five numbers 2,3,5,9,10 come from the uniform distribution on [$\alpha$,$\beta$]. Find the method of moments estimates for $\alpha$ and $\beta$ .

I am trying to wrap my head around the idea behind estimates of moments. From what I understand, the first moment is the mean, the 2nd moment is variance and the 3rd is the skewness. I want to find the most likely values of both $\alpha$ and $\beta$ , of which the above 5 numbers are between.
The textbook says to equate each theoretical moment with each corresponding sample moment. Not sure how to do this. Can someone help me get started?

Thanks
 
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das said:
The problem:

Let the five numbers 2,3,5,9,10 come from the uniform distribution on [$\alpha$,$\beta$]. Find the method of moments estimates for $\alpha$ and $\beta$ .

I am trying to wrap my head around the idea behind estimates of moments. From what I understand, the first moment is the mean, the 2nd moment is variance and the 3rd is the skewness. I want to find the most likely values of both $\alpha$ and $\beta$ , of which the above 5 numbers are between.
The textbook says to equate each theoretical moment with each corresponding sample moment. Not sure how to do this. Can someone help me get started?

Thanks

Hi das,

Take a look at this section of the relevant wiki page.
It gives the formula for the estimates for $\alpha$ and $\beta$.
Can you apply it? (Wondering)
 
OK thank you I'll try this
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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