What is the cdf of the area of a square with a uniform distribution over (0, 5)?

AI Thread Summary
The discussion focuses on finding the cumulative distribution function (CDF) for the area of a square, given a uniform distribution for the side length over the interval (0, 5). The initial approach of squaring the CDF of the side length was incorrect, as it did not yield a valid probability distribution. Instead, the correct method involves determining the CDF of the area by using the relationship between the side length and the area, leading to the CDF being expressed as 0.2√x for the area values between 0 and 25. The conversation emphasizes the importance of correctly applying probability principles and understanding the transformations involved in deriving the CDF. Overall, the correct CDF for the area is established as 0.2√x for x in (0, 25), with appropriate values outside this range.
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Homework Statement


Let the random variable X represent the length of the side of a square. It has a uniform distribution over the interval (0, 5).

What is the cumulative distribution function for the area of the square, Y?


Homework Equations


F(x) = 0.2x (the cdf of the side).


The Attempt at a Solution


So I tried simply squaring F(x), giving 0.04x^2, which is incorrect since F(25) = 25 instead of 1. Also, it wouldn't make sense for the probability of the largest areas to have the highest probability, since:
P(4.9 < X < 5.0) = 0.02
Therefore P(4.9^2 < X < 5.0^2) = 0.02
But going by 0.04x^2 we get 0.08 or something.

Also, I couldn't find anything like this in my textbook (I'm a high school student), is there any good website to line this stuff from?

Thanks in advance.
 
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theloathedone said:

Homework Statement


Let the random variable X represent the length of the side of a square. It has a uniform distribution over the interval (0, 5).

What is the cumulative distribution function for the area of the square, Y?

Homework Equations


F(x) = 0.2x (the cdf of the side).

The Attempt at a Solution


So I tried simply squaring F(x), giving 0.04x^2, which is incorrect since F(25) = 25 instead of 1. Also, it wouldn't make sense for the probability of the largest areas to have the highest probability, since:
P(4.9 < X < 5.0) = 0.02
Therefore P(4.9^2 < X < 5.0^2) = 0.02
But going by 0.04x^2 we get 0.08 or something.

Also, I couldn't find anything like this in my textbook (I'm a high school student), is there any good website to line this stuff from?

Thanks in advance.

No, why are you squaring F(x)?

To handle this type of problem, we often try to find the cdf of S first, then (if the problem asks further for pdf function) we can obtain it by differentiating the cdf of S.

So, it goes like this:
\begin{align*}F_S(x) = P(S \le x) = P(X^2 \le x) &amp;= \left\{ \begin{array}{ll} 0 &amp; , \mbox{ if } x \le 0 \\ P(-\sqrt{x} \le X \le \sqrt{x}) &amp; , \mbox{ if } x &gt; 0 \end{array} \right. \\<br /> &amp;= \left\{ \begin{array}{ll} 0 &amp; , \mbox{ if } x \le 0 \\ P(-\sqrt{x} \le X \le 0) + P(0 &lt; X \le \sqrt{x}) &amp; , \mbox{ if } x &gt; 0 \end{array} \right. \\<br /> &amp;= ...<br /> \end{align}

Can you go from here, :)
 
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You are going the wrong way. In order that x^2&lt; a, we must have x&lt;\sqrt{a}. Take the square root of 0.2x, not the square!
 
Ah I see where I went wrong.

But it should be 0.2\sqrt{x} and not \sqrt{0.2x} right?

Thanks for the speedy responses!
 
theloathedone said:
Ah I see where I went wrong.

But it should be 0.2\sqrt{x} and not \sqrt{0.2x} right?

Thanks for the speedy responses!

Yup, that's correct. Congratulations. :)

But, remember that F_S(x) = 0.2\sqrt{x} on the interval (0; 25), it takes other values elsewhere.
 
yup. it's 0 for x < 0 and 1 for x > 25. Thanks for the help :)
 
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