Discrete Random Variables - Mean and Standard Deviation

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SUMMARY

The discussion focuses on calculating the mean and standard deviation of two colors of marbles in a bag, given the mean and standard deviation of one color. The key conclusion is that the mean of color 2 can be determined by subtracting the mean of color 1 from the total number of marbles. However, the standard deviation of color 2 cannot be derived directly from that of color 1 due to the correlation between the two variables. Instead, the variance of color 2 should be calculated using the formula Var(Y) = E(Y^2) - (EY)^2, re-expressing everything in terms of color 1.

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  • Understanding of discrete random variables
  • Knowledge of mean and standard deviation calculations
  • Familiarity with variance and covariance concepts
  • Basic principles of expectation in probability theory
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  • Study the relationship between covariance and variance in joint distributions
  • Learn how to apply the law of total expectation in probability
  • Explore the derivation of variance for dependent random variables
  • Review examples of calculating mean and standard deviation for multiple correlated variables
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dyno0919
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Homework Statement


There are a set number of marbles in a bag; the marbles consist of two colors. We are given the mean number of marbles of color 1 in the bag, as well as color 1's standard deviation. We are then asked to find the mean and standard deviation of color 2.

Homework Equations


How do we find the standard deviation of one variable given the standard deviation of another variable?

The Attempt at a Solution


I believe the mean of color 2 would just be (# of marbles in bag)-(mean # of color 1 marbles), but I may be wrong. We haven't learned anything about covariance, and after a sufficient amount of googling that seems like the only way to connect two variances (and thereby two standard deviations).

If we assign X=# of marbles of color 1 and Y=# of marbles of color 2, then it makes sense that E[X+Y]=E[X]+E[Y], or E[Y]=E[X+Y]-E[X]. But then, Var(X+Y) would be 0 because the number of marbles in the bag never changes? Then if Var(X+Y)=Var(X)+Var(Y), we end up with a negative variance for Y... It is at this point that I haven't got a clue how to proceed.
 
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dyno0919 said:

Homework Statement


There are a set number of marbles in a bag; the marbles consist of two colors. We are given the mean number of marbles of color 1 in the bag, as well as color 1's standard deviation. We are then asked to find the mean and standard deviation of color 2.


Homework Equations


How do we find the standard deviation of one variable given the standard deviation of another variable?


The Attempt at a Solution


I believe the mean of color 2 would just be (# of marbles in bag)-(mean # of color 1 marbles), but I may be wrong. We haven't learned anything about covariance, and after a sufficient amount of googling that seems like the only way to connect two variances (and thereby two standard deviations).

If we assign X=# of marbles of color 1 and Y=# of marbles of color 2, then it makes sense that E[X+Y]=E[X]+E[Y], or E[Y]=E[X+Y]-E[X]. But then, Var(X+Y) would be 0 because the number of marbles in the bag never changes? Then if Var(X+Y)=Var(X)+Var(Y), we end up with a negative variance for Y... It is at this point that I haven't got a clue how to proceed.

You cannot write Var(X+Y) = Var(X) + Var(Y) because X and Y are correlated. Instead, use the standard result that Var(Y) = E(Y^2) - (EY)^2, and re-express everything in terms of X.
 

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