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Given that $X \sim \operatorname{Binomial}(n,p)$, Find $\mathbb{E}[X(X-1)(X-2)(X-3)]$.

It is suggested that I can transform it into \begin{align} \mathbb{E}[X(X-1)(X-2)(X-3)] &=\sum_{k=0}^n k(k-1)(k-2)\mathbb{P}\{X=k\}\\ &=\sum_{k=3}^{n+3} (k-3)(k-4)(k-5)\mathbb{P}\{X=k-3\}\\ &=\sum_{k=0}^n i(i-1)(i-2)\mathbb{P}\{X=i\} \end{align} But then I just have no idea about how can i do it. I suspect that it needs something similar to this post but the steps are quite different from this one.

Please help.

Clement C.
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    Related: https://math.stackexchange.com/questions/1476676/the-3rd-raw-moment-of-a-binomial-distribution/1476783#1476783 – heropup Nov 21 '18 at 06:24

4 Answers4

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One way is to use characteristic functions. The characteristic function of $B(n,p)$ is $\phi (t)=(pe^{it}+(1-p))^{n}$. The moments of $X$ are given by $i^{n}EX^{n}=\phi^{(n)}(0)$. You can compute the first 4 moments of $X$ using this and then use the expanded form of $X(X_1)(X-2)(X-3)$.

  • This is somewhat overkill (assumes somewhat more advanced knowledge), and does not really follow the suggestion/hint at all, however. – Clement C. Nov 21 '18 at 06:13
  • @ClementC. The other two answers here use moment generating function instead of characteristic function. I am not sure if characteristic function is much more advanced than moment generating function. If OP says he is not familiar with characteristic functions I will gladly delete my answer. – Kavi Rama Murthy Nov 21 '18 at 07:46
  • No, your answer is worth having. Just feeling that all the characteristic functions/MGF approaches are a bit "not elementary" for this question. – Clement C. Nov 21 '18 at 07:49
  • Hi guys I am OP, well this is indeed a year 1 engineering math course so I really have no idea about these things. I guess I will go study on the idea of your answer later. – Michael Lee Nov 22 '18 at 02:47
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Hint: Probability Generating Function (see https://en.wikipedia.org/wiki/Probability-generating_function)

Look at the properties section, the part where it talks about the kth factorial moment.

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Look at $f(s)= E [ s^X]$.

1) Observe that

$$f(s) = (sp + (1-p))^n=(1+ (s-1)p)^n =\sum_{k=0}^n \binom{n}{k}p^k (s-1)^k=\sum_{k=0}^n \frac{n!}{(n-k)!} \frac{(s-1)^k}{k!},$$ the RHS identified as the Taylor series of $f$ about $s=1$.

2) Differentiating under the expectation (which is just a finite sum here), we obtain $$f'(s) = E[ X s^{X-1}] ,~f''(s) = E[X (X-1) s^{X-2}],\dots.$$

You're looking for $f^{(4)}(1)$.

Fnacool
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Start as suggested, and write down what the probability mass function (pmf) of the Binomial actually is: $$\begin{align*} \mathbb{E}[X(X-1)(X-2)(X-3)] &= \sum_{k=0}^n k(k-1)(k-2)(k-3)\mathbb{P}\{X=k\}\\ &= \sum_{k=4}^n k(k-1)(k-2)(k-3)\mathbb{P}\{X=k\}\\ &= \sum_{k=4}^n k(k-1)(k-2)(k-3)\binom{n}{k}p^k(1-p)^{n-k}\\ &= \sum_{k=4}^n k(k-1)(k-2)(k-3)\frac{n!}{k!(n-k)!}p^k(1-p)^{n-k}\\ &= \sum_{k=4}^n \frac{n!}{(k-4)!(n-k)!}p^k(1-p)^{n-k}\\ &= \sum_{k=4}^n \frac{n(n-1)(n-2)(n-3)(n-4)!}{(k-4)!((n-4)-(k-4))!}p^k(1-p)^{n-k}\\ &= n(n-1)(n-2)(n-3)p^4\sum_{k=4}^n \binom{n-4}{k-4}p^{k-4}(1-p)^{(n-4)-(k-4)}\\ &= n(n-1)(n-2)(n-3)p^4\sum_{\ell=0}^n \binom{n-4}{\ell}p^{\ell}(1-p)^{(n-4)-\ell}\\ &= \boxed{n(n-1)(n-2)(n-3)p^4} \end{align*}$$ since $\sum_{\ell=0}^n \binom{n-4}{\ell}p^{\ell}(1-p)^{(n-4)-\ell}=1$, recognizing the sum of probabilities for a Binomial with parameters $n-4$ and $p$.

Clement C.
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