Division of Chi Squared Random Variables

In summary, the question is whether X/Y is equal to 1 when X and Y are independent chi squared random variables with n degrees of freedom. Intuitively, this may seem possible, but it is not always the case. The result to consider is the derivation of the F-distribution, which explains how the distribution for a ratio of chi-square distributions is derived. It is important to check if the two variables correspond to the same process before assuming they are equal.
  • #1
jojay99
10
0
Hey guys,

I have a quick question. Suppose X is a chi squared random variable with n degrees of freedom and Y is another independent chi squared random variable with n degrees of freedom.

Is X/Y ~ 1 ?

Intuitively, it makes sense to me but I'm not too sure.
 
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  • #2


Hey jojay99 and welcome to the forums.

If X != Y the answer is an emphatic no. You can't just assume that X = Y just because both have the same degree of freedom: if they are two distinct random variables then they will have some distribution.

The result you should look at is the derivation of the F-distribution:

http://en.wikipedia.org/wiki/F-distribution

Any derivation of the F-distribution will tell you how the distribution for a ratio of chi-square distributions (with terms for the degrees which are constants) is derived.

Remember that if you have two distributions you need to check whether the two variables correspond to the same process and not the same variable definition or PDF.

Another thing to think about: is X + Y = 2X? How about X + Y = 2Y? Even if it's not a random variable, just think a normal variable and consider those questions.
 

Related to Division of Chi Squared Random Variables

1. What is the Division of Chi Squared Random Variables?

The Division of Chi Squared Random Variables is a statistical concept that involves dividing two chi-squared random variables. This results in a new random variable that follows a F-distribution. It is commonly used in hypothesis testing and to compare the variances of two populations.

2. How is the Division of Chi Squared Random Variables calculated?

The formula for calculating the Division of Chi Squared Random Variables is F = (X/Y), where X and Y are independent chi-squared random variables with n1 and n2 degrees of freedom, respectively. This results in a new random variable F with n1 and n2 degrees of freedom.

3. What is the significance of the degrees of freedom in the Division of Chi Squared Random Variables?

The degrees of freedom in the Division of Chi Squared Random Variables represent the number of values in a sample that are free to vary. In this case, n1 and n2 represent the sample sizes of the two populations being compared. The degrees of freedom are important in determining the critical values for the F-distribution and ultimately, the significance of the test.

4. When is the Division of Chi Squared Random Variables used?

The Division of Chi Squared Random Variables is commonly used in hypothesis testing to compare the variances of two populations. It is also used in analysis of variance (ANOVA) to evaluate the differences between group means.

5. What are the assumptions for using the Division of Chi Squared Random Variables?

The Division of Chi Squared Random Variables assumes that the two populations being compared follow a normal distribution and have equal variances. Additionally, the samples should be independent and the observations should be randomly selected.

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