How Do You Calculate Probabilities in a Standard Gamma Distribution?

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SUMMARY

The discussion focuses on calculating probabilities in a standard gamma distribution, specifically for a reaction time variable X with parameters alpha=2. The probability P(2<=X<=5) is calculated using the cumulative distribution function F(x; alpha), resulting in a value of 0.159. The integral for F(x; alpha) is defined as the integral from 0 to x of the function (y^(alpha-1))*(e^-y)/(gamma(alpha)). A minor correction was noted regarding the limits of integration, which should be from 0 to x.

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Homework Statement


This is an example in my book with omitted steps. Suppose the reaction time X of a randomnly selected individual to a certain stimulus has a standard gamma distribution with alpha=2. When X is continuous

P(2<=X<=5) = F(5;2)-F(3;2) = .960-.801 = .159




Homework Equations



F(x;alpha) = integral from x to 0 [(y^(alpha-1))*(e^-y)]/(gamma(alpha)


The Attempt at a Solution



I have followed the equation and placed 5 for y and 2 for alpha but the numbers are not matching up. In the test it says that gamma(alpha) is equal to one. Please help I have a test tommorow. Thanks
 
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What exactly is the problem? What numbers are you expecting and what numbers are you getting?

You write:
P(2 <= X <= 5) = .159
but is this what you're supposed to get, or what you're actually getting?

I get P(2 <= X <=5)=.159 as well using the exact formulas you posted (minor nitpick: the integral is from 0 to x, not from x to 0, but I assume this was just a typo).
 

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