Statistics -> Variance and Linear Combinations

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SUMMARY

The discussion focuses on calculating variance and expectations in probability theory, specifically through examples involving dice games and random variables. The variance of profit from a dice game was calculated to be approximately 2.06, with an expected value of 1.94. The user expressed confusion regarding the implications of variance on winnings, suggesting a preference for larger variance when expecting positive returns. Additionally, the user struggled with finding the probability density function (PDF) and expectation for a transformed random variable Y = X^3, starting from a given PDF of f(x) = 2x for 0 ≤ x ≤ 1.

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  • Understanding of variance and expected value in probability theory
  • Familiarity with probability density functions (PDFs)
  • Basic knowledge of linear combinations of random variables
  • Experience with integration in calculus
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  • Learn how to derive the PDF for transformed random variables
  • Explore the concept of expectation for nonlinear transformations of random variables
  • Practice solving problems involving integration of PDFs to find expected values
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Having a lot of trouble with a particular problem in the topic of variance. The problem is:

"Suppose you are organizing a game where you charge players $2 to roll two dice and then you pay them the difference in scores. What is the variance in your profit from each game? If you are playing a game in which you have positive expected winnings, would you prefer a small or large variance in the winnings?"

I already calculated the variance (more details of the problem were not mentioned b/c I already calculated the variance) and it was around 2.06 and the expected value (mean) is 1.94. I would guess a larger variance because then you can take a chance at trying to get higher values while knowing that you have a good chance of getting a positive income in the end. But I keep second-guesing myself of that and I am just not sure, lol.




Also, having a lot of trouble with linear combinations. For example, I have a problem like this:

Suppose that the random variable X has a probability density function of f(x) = 2x for 0 <= x <= 1. Find the PDF and the expectation of the random variable Y in the following cases:

a. Y = X^3

There are 3 more parts but I can do those myself if I can just figure out how to do one. I just have no idea where to start. I read the book and the notes and still having trouble figuring out what to do here. I guess I need to say for example:

f(x^3) = (2x)^3 = 8x^2 would be the new PDF?

and ...

E(x^3) = (E(x))^3 = ... ?

I don't even know what I am doing ... lol.
 
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I guess I need to find the expectation value for the second problem first before doing anything, so:

integral of x*2x = integral of 2x^2 = 2x^3/3 between 1 and 0 = 2(1)^3/3 = (2/3) = .75

So from there I would just say (.75)^3 as the answer for the expectation value for Y = X^3?
 
Anyone? Still isn't making sense to me.
 

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