Normal distribution and extremal value

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Homework Help Overview

The discussion revolves around finding the value of sigma (dispersion) for maximal probability in the context of a normal distribution, specifically for the interval P(1

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the use of derivatives with respect to sigma of the integral of the distribution function over the specified interval. There is a focus on the integrability of the function exp(-x²) and its implications for the problem at hand.

Discussion Status

Some participants have offered hints regarding the calculation of derivatives and the nature of the integral involved. There appears to be an ongoing exploration of the mathematical properties of the functions involved, with no explicit consensus reached yet.

Contextual Notes

There is a mention of the original poster's uncertainty regarding the integrability of exp(-x²) and a request for clarification on this point. The discussion also reflects on the use of tables for normal distribution probabilities, indicating potential constraints in analytical approaches.

faruk
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Normal distribution.

What is the value of sigma (dispersion) for maximal probability P(1<x<2) ?

Excel calculation: sigma is about 1.471. But what would be an analytical solution?

http://img500.imageshack.us/img500/558/normdistrib19ql.gif
 
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HINT: Calculate the derivative with respect to [itex]\sigma[/itex] of the integral of the distribution function over the given interval.
 
Tide said:
HINT: Calculate the derivative with respect to sigma of the integral of the distribution function over the given interval.

That's exact the problem.
exp(-x²) belongs to the unintegratable functions. It's the cause we use the table of the normal distribution probability.

I hope to be wrong. Please help me.
 
faruk said:
That's exact the problem.
exp(-x²) belongs to the unintegratable functions. It's the cause we use the table of the normal distribution probability.

I hope to be wrong. Please help me.

Your precise wording is wrong. exp(-x2) is integrable- it's integral just doesn't happen to be an elementary function. (Actually, its integral is the error function because that's how the error function is defined!)

But you don't need to know the function itself you only need to know its derivative. What is this derivative:
[tex]\frac{d}{dx}\left(\int_a^x e^{-t^2}dt\right)[/tex]

Hint: What is this derivative:
[tex]\frac{d}{dx}\left(\int_a^x f(t)dt\right)[/tex]
 

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