MHB What term should be deleted to make a perfect square?

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To make the product $B$ a perfect square by deleting one term from $A = (1!) \times (2!) \times (3!) \times \ldots \times (2016!)$, the term $1008!$ should be removed. The reasoning is based on the properties of factorials and even numbers, where the product can be expressed as $2^{1008} \times 1008! \times \Box$. Removing $1008!$ results in a product that maintains the structure of a perfect square. This conclusion stems from the analysis of the factorial terms and their contributions to the overall product. The discussion highlights the mathematical intricacies involved in achieving a perfect square through strategic term deletion.
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$A=(1!)\times(2!)\times(3!)\times--------\times(2016!)$
$B$ is obtained by deleting one term from $A$
now decide which term of $A$ should be deleted ,to make $B$ a perfect square
 
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Albert said:
$A=(1!)\times(2!)\times(3!)\times--------\times(2016!)$
$B$ is obtained by deleting one term from $A$
now decide which term of $A$ should be deleted ,to make $B$ a perfect square
[sp]Since $(2n)! = 2n\times (2n-1)!$, it follows that $(2n-1)!\times(2n)! = \bigl((2n-1)!\bigr)^2\times 2n = 2n\times\Box$ (where $\Box$ denotes a perfect square). Then $$\begin{aligned}A &= (1!\times2!)\times(3!\times4!) \times \cdots \times(2015!\times2016!) \\ &= (2\times\Box) \times (4\times \Box) \times \cdots \times(2016\times\Box) \\ &= 2\times 4\times 6\times \cdots \times 2016 \times\Box \\ &= 2^{1008}\times 1008! \times\Box \\ &= (2^{504})^2 \times 1008!\times\Box = 1008!\times\Box.\end{aligned}$$ Thus if $B$ consists of $A$ with $1008!$ removed from the product, then $B$ is a $\Box.$[/sp]
 
Albert said:
$A=(1!)\times(2!)\times(3!)\times--------\times(2016!)$
$B$ is obtained by deleting one term from $A$
now decide which term of $A$ should be deleted ,to make $B$ a perfect square
Didn't we just have this posted by a member? Or is that on a different forum? (It's a good question either way.)

-Dan
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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