If X ∼ Uniform(−1, 1) find the pdf of Y = |X|

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SUMMARY

The discussion centers on finding the probability density function (pdf) of the random variable Y, defined as Y = |X|, where X follows a Uniform distribution on the interval (-1, 1). Participants emphasize the need to calculate the cumulative distribution function (cdf) F_Y(y) for y in [0, 1] by considering the absolute value function piecewise. The conclusion is that the pdf of Y is uniformly distributed between 0 and 1, with a value of 1/2 for the interval [0, 1] and 0 otherwise.

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  • Understanding of Uniform distributions, specifically Uniform(-1, 1)
  • Knowledge of cumulative distribution functions (cdf) and probability density functions (pdf)
  • Familiarity with the change-of-variable technique for random variables
  • Basic concepts of piecewise functions and absolute values in probability
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BobblyHats97
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This question is killing me.

I know the graph is non-monotonic so i have to split up finding F(Y) for -1<Y and Y<1 but then what do I do with the modulus? >.<

Any help would be greatly appreciated! Thank you so much x
 
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You know the pdf of X, which is as simple as a pdf can be.
You have correctly assessed that the next step is to work out the cdf ##F_Y## of Y. THat is, for a given ##y\in[0,1]##, we need to work out what is ##F_Y(y)##?

##F_Y(y)## is the probability that ##Y\leq y##. What values of ##X## produce a value of ##Y## that satisfies that? Can you work out the probability that ##X## has such a value?
 
By inspection, Y is uniform between 0 and 1.
 
andrewkirk said:
Unfortunately that only works for increasing or decreasing functions, so it can't be applied to the absolute value function.
Why not apply it piecewise, from -1 to 0 then from 0 to 1?
 
andrewkirk said:
You know the pdf of X, which is as simple as a pdf can be.
You have correctly assessed that the next step is to work out the cdf ##F_Y## of Y. THat is, for a given ##y\in[0,1]##, we need to work out what is ##F_Y(y)##?

##F_Y(y)## is the probability that ##Y\leq y##. What values of ##X## produce a value of ##Y## that satisfies that? Can you work out the probability that ##X## has such a value?
I'm sorry, can you explain what you just said? I'm tired and feeling slightly brain dead but this homework is due in tomorrow :(

I've calculated that the pdf is 1/2 for -1<x<1 and 0 otherwise.

I understand that to find the probability that Y≤y i have to fine the probability that |x|≤y for -1<Y<0 and 0<Y<1 but how do I do that? Am I missing something obvious? Can I just get rid of the modulus because I'm considering all possible values on Y?
 
BobblyHats97 said:
I understand that to find the probability that Y≤y i have to fine the probability that |x|≤y for -1<Y<0 and 0<Y<1 but how do I do that?
You need to be more careful with upper and lower case, in order to avoid confusing yourself. The standard convention, which works nicely, is to use upper case for a random variable and lower case for a plain old number. So when we write ##Prob(Y\leq y)## we mean the probability that the random variable ##Y## is less than or equal to the number ##y##.
So don't write things like ##|x|≤y## as you did above, because you'll just confuse yourself. If you instead write ##|X|\leq y## then it's easy to see how to proceed. You are trying to find the probability that the random variable ##X## has an absolute value in the range ##[0,y]##. So ask yourself:
1. What range does ##X## have to be in for that to be the case?
2. What is the probability of ##X## being in that range?
 

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