Determining Distribution using normal/chi-square

In summary, the distribution of X2 + Y2 + Z is X2(4), the distribution of W - 4/(2|X|) is F2,2, and the distribution of (X2 + Y2)/Z is X2(1). The absolute value of X can be handled by taking the square root of X squared.
  • #1
cse63146
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0

Homework Statement



Suppose X,W,Y and Z are all independent. X & Y have a normal distribution. W has N(4,4) distribution while Z has a chi-square with 2 degrees of freedom.

a) What is the distribution of X2 + Y2 + Z?
b) What is the distribution of W - 4/(2|X|)
c) What is the distribution of (X2 + Y2)/Z

Homework Equations





The Attempt at a Solution



a) X~N(0,1) Y~N(0,1) Y2~X2(1) X2~X2(1)

Let S = X2 + Y2 + Z

therefore S~X2(4)

c) X~N(0,1) Y~N(0,1) Y2~X2(1) X2~X2(1)

Let S = (X2 + Y2)/Z

therefore S~X2(1)

b) Not sure what to do about the absolute value.
 
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  • #2
Your response to c isn't correct - you cannot say that because the numerator has 2 degrees of freedom, as does the denominator, they cancel.
You do know that the numerator and denominator are independent, and both have chi-square distributions, so ...
 
  • #3
Ah, they become an F-distribution

so S ~ F2,2

how would I handle the |X| in part b)?
 
  • #4
cse63146 said:
how would I handle the |X| in part b)?

[tex]|X|=\sqrt{X^2}[/tex]
 
  • #5
Thank you.
 

What is the purpose of determining distribution using normal/chi-square?

The purpose of determining distribution using normal/chi-square is to analyze and understand the pattern or distribution of data. This can help in making predictions and drawing conclusions about a population based on a sample.

What is the difference between normal distribution and chi-square distribution?

Normal distribution is a continuous probability distribution that follows a bell-shaped curve and is used to describe natural phenomena such as heights and weights. Chi-square distribution, on the other hand, is a discrete probability distribution that is used to analyze categorical data and test for independence between categorical variables.

How do you determine if a data set follows a normal distribution?

To determine if a data set follows a normal distribution, you can plot a histogram or a normal probability plot. If the data is normally distributed, the histogram will have a bell-shaped curve and the points on the normal probability plot will fall close to a straight line.

What is the significance of the chi-square test in determining distribution?

The chi-square test is used to determine if there is a significant difference between the observed frequencies and the expected frequencies in a data set. It helps to determine if the data is following a particular distribution or if there is a relationship between the variables being studied.

Can you use the chi-square test for continuous data?

No, the chi-square test is only applicable for categorical data. For continuous data, other statistical tests such as the t-test or ANOVA should be used to determine distribution.

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