Method of Moment Generating Function Help

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To find the probability function of Y = X1 + n2 - X2, where X1 and X2 are independent binomial random variables, one must first determine the moment generating function (mgf) of (n2 - X2). The mgf of a binomial variable can be calculated using the formula M(t) = (pe^t + (1-p))^n. In this case, n2 - X2 counts the number of failures in n2 trials, which is equivalent to n2 minus the number of successes counted by X2. Understanding these components is crucial for accurately calculating the mgf and subsequently the probability function of Y.
wannabe92
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Let X1 be a binomial random variable with n1 trials and p1 = 0.2 and X2 be an independent
binomial random variable with n2 trials and p2 = 0.8. Find the probability function of
Y = X1 + n2 – X2.
Exactly how does one calculate the mgf of (n2 - X2)?
 
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wannabe92 said:
Let X1 be a binomial random variable with n1 trials and p1 = 0.2 and X2 be an independent
binomial random variable with n2 trials and p2 = 0.8. Find the probability function of
Y = X1 + n2 – X2.
Exactly how does one calculate the mgf of (n2 - X2)?

If X2 counts the number of successes, what does n2 - X2 count?

RGV
 
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