Discrete Random Variables - Mean and Standard Deviation

In summary, the conversation discusses finding the mean and standard deviation of color 2 in a bag of marbles given the mean and standard deviation of color 1. The attempt at a solution involves assigning variables X and Y for the number of marbles of each color, but the correlation between the two makes it difficult to find the standard deviation of Y. Instead, the standard result for variance is used, Var(Y) = E(Y^2) - (EY)^2, and everything is re-expressed in terms of X.
  • #1
dyno0919
3
0

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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  • #2
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.
 

1. What is a discrete random variable?

A discrete random variable is a type of random variable that can only take on a finite or countably infinite number of values. These values are usually represented by whole numbers and are the result of a random process. Examples of discrete random variables include the number of heads in a coin toss or the number of children in a family.

2. How is the mean of a discrete random variable calculated?

The mean of a discrete random variable is calculated by multiplying each possible value of the variable by its corresponding probability and then adding all of these products together. This is also known as the expected value of the random variable. It represents the average value that would be obtained if the random process were repeated an infinite number of times.

3. What is the significance of the mean in relation to discrete random variables?

The mean, or expected value, of a discrete random variable is an important measure because it provides information about the central tendency or average value of the variable. It can also be used to make predictions about future outcomes of the random process.

4. How is the standard deviation of a discrete random variable calculated?

The standard deviation of a discrete random variable is calculated by first finding the mean of the variable. Then, for each possible value, subtract the mean and square the result. Next, multiply each of these squared differences by its corresponding probability. Finally, take the square root of the sum of these products. This represents the spread or variability of the values of the random variable around the mean.

5. Why is it important to calculate the mean and standard deviation of a discrete random variable?

Calculating the mean and standard deviation of a discrete random variable allows us to better understand the distribution of its values and make predictions about future outcomes. These measures also help us to compare different random variables and determine which one has a more desirable or predictable behavior. Additionally, the standard deviation can be used to identify outliers or extreme values in the dataset.

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