Using pdf to find the Probability of a range

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SUMMARY

The discussion focuses on calculating the probability P(1/2 < Y < 3/4) using both the cumulative distribution function (CDF) and the probability density function (PDF) for a given CDF defined as Fy(y) = 0 for y < 0, Fy(y) = y^2 for 0 ≤ y < 1, and Fy(y) = 1 for y ≥ 1. The user successfully computes the probability using the CDF, obtaining a result of 5/16. However, they encounter difficulties when attempting to derive the PDF, leading to probabilities exceeding 1, which violates fundamental probability laws.

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  • Knowledge of probability density functions (PDF)
  • Familiarity with differentiation and integration in calculus
  • Basic concepts of probability theory
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rhyno89
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Homework Statement



For a given cdf: Fy(y) = 0 for y less than 0
= y^2 for the range 0 to 1
= 1 for all values greater than or equal to 1

the problem asks to find P(1/2 < Y < 3/4) first using the cdf and then using the pdf



Homework Equations





The Attempt at a Solution



Okay so the first part of this i was able to do easily. Since its giving the cdf you just have to plug in the two values of the range and the end result is 5/16

Using the pdf to find the answer is where i ran into trouble

I kno that the relationship b/w the cdf and the pdf is that the cdf is the anti derivative of the pdf so i began by differentiating the values of Y over the range.

This of course gave me 0, 2y and 0 for the different ranges.

Because of this however, the values for either of the two ranges give me a probability greater than 1 and that alone violates the laws around it so that doesn't work even if the answer would have matched up, which it doesn't anyway. So I am guessing the problem is how I calculated the pdf...any tips?

Thanks
 
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Wouldn't it just be

\int_\frac{1}{2} ^\frac{3}{4} 2y dy

I don't think this gives an answer greater than one.
 
i thought i had to do something like that since it was an interval and not merely a finite set of numbers. This kinda seems like a pointless exercise since this would have me differentiating the cdf to get the pdf just to re integrate it and return it to the cdf plugging in the same numbers that I had to do for part a.
I was also looking through the book and I don't see any other way of getting it so i think ill run with this...thanks for the quick response
 

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