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because ur supposed to do it thAt way buddy

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โˆ™ 2012-06-09 17:48:10
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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: Why do you square the deviation and find the square root of the sum of the square root?
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Is variance the square root of standard deviation?

No, you have it backwards, the standard deviation is the square root of the variance, so the variance is the standard deviation squared. Usually you find the variance first, as it is the average sum of squares of the distribution, and then find the standard deviation by squaring it.

How do you calculate root sum square?

to find the root-sum square of n numbers you square each number, add them, then take square root of sum For exanple root sum square of 2,3, and 4 is square root of (4+9+16) = sqrt(29) = 5.39

Can standard deviation assume a negative value?

No. It is defined to be the positive square root of ((the sum squared deviation divided by (the number of observations less one))

Why cant you get the square root of the sum of numbers?

You can. Just add the numbers together, and find their square root. One plus three is four; the square root of the sum is two.

Find the sum of 100x50 square root?

i think its 5000

Why to take square in the formula of standard deviation?

The sum of deviations from the mean will always be 0 and so does not provide any useful information. The absolute deviation is one solution to tat, the other is to take the square - and then take a square root.

Why is the square root of a sum equals the sum of the square roots?

It's not. Take 49 and 16 for example. The square root of the sum is the square root of 65. The sum of the square roots is 11.

Formula for s in statistics?

s=sample standard deviation s=square root (Sum(x-(xbar))2 /(n-1) Computing formula (so you don't have to find the mean and the distance from the mean over and over): square root(Sxx /(n-1)) Sxx= Sum(x2) - ((Sum(x))2/n)

How do you calculate standard deviation?

standard deviation is the positive square root of mean of the deviations from an arithmatic mean X denoted as sigma.sigma=sqrt {(sum(x-X)^2)/n}

The square root of a sum equals the sum of the square roots?


Why standard deviation is more often used than variance?

Both variance and standard deviation are measures of dispersion or variability in a set of data. They both measure how far the observations are scattered away from the mean (or average). While computing the variance, you compute the deviation of each observation from the mean, square it and sum all of the squared deviations. This somewhat exaggerates the true picure because the numbers become large when you square them. So, we take the square root of the variance (to compensate for the excess) and this is known as the standard deviation. This is why the standard deviation is more often used than variance but the standard deviation is just the square root of the variance.

The symbol S means in statistics?

s is the sample standard deviation. it is computed by taking the square root of: sum(x-mean)2/n-1

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