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alexmahone
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Evaluate \(\displaystyle \sum\limits_{k=1}^{12} {12\choose{k}}k^2\)
The answer is 159744.
The answer is 159744.
Last edited:
MarkFL said:Suppose we wish to find a formula for:
\(\displaystyle \sum_{k=0}^n\left({n \choose k}k\right)\)
We could begin with the binomial theorem and state:
\(\displaystyle (1+x)^n=\sum_{k=0}^n\left({n \choose k}x^k\right)\)
Multiply through by $x$:
\(\displaystyle x(1+x)^n=\sum_{k=0}^n\left({n \choose k}x^{k+1}\right)\)
Differentiate w.r.t $x$:
\(\displaystyle x\left(n(1+x)^{n-1}\right)+(1)(1+x)^n=\sum_{k=0}^n\left({n \choose k}(k+1)x^{k}\right)\)
Letting $x=1$, we obtain:
\(\displaystyle n2^{n-1}+2^n=\sum_{k=0}^n\left({n \choose k}(k+1)\right)=\sum_{k=0}^n\left({n \choose k}k\right)+\sum_{k=0}^n\left({n \choose k}\right)\)
We should observe that \(\displaystyle \sum_{k=0}^n\left({n \choose k}\right)=(1+1)^n=2^n\)
And so we have:
\(\displaystyle n2^{n-1}+2^n=\sum_{k=0}^n\left({n \choose k}k\right)+2^n\)
Hence:
\(\displaystyle \sum_{k=0}^n\left({n \choose k}k\right)=n2^{n-1}\tag{1}\)
Now, use a similar approach to find a formula for:
\(\displaystyle \sum_{k=0}^n\left({n \choose k}k^2\right)\)
And you will find you can use the formula (1) I derived above.
Alexmahone said:In order to find a formula for:
\(\displaystyle \sum_{k=0}^n\left({n \choose k}k\right)\),
we just need to differentiate (w.r.t. x)
\(\displaystyle (1+x)^n=\sum_{k=0}^n\left({n \choose k}x^k\right)\) once and set \(\displaystyle x=1\).
The formula for the sum of binomial coefficients multiplied by k^2 is given by: ∑i=0n (n choose i) * k2
The term n represents the number of trials or objects in a set, i represents the number of successes or selected objects, k represents a constant multiplier, and ∑ represents the summation symbol.
This formula is used in probability and statistics to calculate the expected value of a random variable. It can also be used to find the variance and standard deviation of a binomial distribution.
The binomial theorem states that for any non-negative integer n, the sum of the coefficients of the terms in the binomial expansion of (a + b)^n is equal to 2^n. This formula is a specific case of the binomial theorem when k=1.
Yes, this formula can be applied to real-life scenarios, such as in the fields of finance and economics. It can be used to calculate the expected returns or losses on investments or to model the probability of success in a given situation.