If y ?-x, and every Xi is i i d with a chi-squared distribution with 14 degrees of freedom, find the MGF of Y M(t) = What is the distribution of Y? Select all that apply. There may be more than one correct answer A.chi squared(df 105) B. exponential(A 105 C. garnma(a = 2, ? = 210) D.gamma(a 1, 1/210) erponential(? = 210) F. chi-squared(df-210) G. gamma(a 105,B-2) H. garn ma(a-1, ?-1/105) I. None of the above

We have independent and identically distributed random chi square variables, each one with 14 degrees of freedom [tex]X_i \sim \chi^2_{14}[/tex] for [tex]i=1,2,....,15[/tex]. And let Y the random variable defined as :

[tex]Y= \sum_{i=1}^{15}X_i[/tex]

We have a thorem that says that the distribution of Y is given by: [tex] Y\sim \chi^2_{14+14+......+14=15*14=210}[/tex]

Proof

We need to find first the moment generating function for the random variable Y like this:

[tex]M_Y (t) =\prod_{i=1}^{15}M_{X_i (t)}[/tex]

And the productory is satisfied because we have independent random variables. The moment generating function for a chi square distribution with r1 degrees of freedom is given by:

[tex]M_X (t) =(1-2t)^{-\frac{r_1}{2}}[/tex]

And replacing for each of the 15 distributions we got :

[tex]M_Y (t) =\prod_{i=1}^{15}M_{X_i (t)}= (1-2t)^{-\frac{14}{2}} (1-2t)^{-\frac{14}{2}}..... (1-2t)^{-\frac{14}{2}}[/tex]

And using properties of algebra we got this:

[tex]M_Y (t) = (1-2t)^-{\frac{14+14+.....+14}{2}}, t <1/2[/tex]

And we can see that the moment generating function represent a chi square distribution with 14*15=210 degrees of freedom.

So then the correct option is given by:

F. chi-squared(df-210)