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.
you have to first find the Mean then subtract each of the results from the mean and then square them. then you divide by the total amount of results and that gives you the variance. If you square root the variance you will get the standard deviation
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
I believe you are interested in calculating the variance from a set of data related to salaries. Variance = square of the standard deviation, where: s= square root[sum (xi- mean)2/(n-1)] where mean of the set is the sum of all data divided by the number in the sample. X of i is a single data point (single salary). If instead of a sample of data, you have the entire population of size N, substitute N for n-1 in the above equation. You may find more information on the interpretation of variance, by searching wikipedia under variance and standard deviation. I note that an advantage of using the standard deviation rather than variance, is because the standard deviation will be in the same units as the mean.
The variance is: 3.96
Variance is 362 or 1296.
1. Find the mean (average) of each set. 2. Subtract each value from its set mean. 3. Square each difference. 4. Add the squared values for each set. The sum of the squared differences for each set is that set's variance. If you want to find standard deviation (a much more useful number in most cases), divide the variance by the number of values in the set minus 1 (n-1), and then take the square root of the result.
a quarter is 1/4 and square root of 1/4 is square root (1/4)=square root of 1 divided by square root of 4 which is 1 divided by 2. So the answer is 1/2
The square root of a/b is equal to the square root of a divided by the square root of b. I hope this helps you.
To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.
Mass divided by volume
The variance is the square of the standard deviation.This question is equivalent tocan s = s^2The answer is yes, but only in two cases.If the standard deviation is 1 exactly, then so is the variance.If the standard deviation is 0 exactly, then so is the variance.If the standard deviation is anything else, then it is not equal to the variance.You are not likely to find these special cases in practical problems, so from a practical sense, you should think that they are generally not equal.
find the smallest number by which 9408 must be multiplied to get a perfect square/ also find the square of the number
The variance is: 76.7
That's what I'm trying to find out :(
area= Pi x r-squared (25) divided by 3.14 = (3.14 x r-squared) divided by 3.14 (7.96) find the square root = (r-squared) find the square root 1.4 = radius
You will usually need a calculator.
Difference between actual amount and budgeted amount is called "Variance" and variance analysis is done to find out the reasons for variance
it is square root of the area divided by pi
If you are trying to find the number of square units on the surface of something, you find the area of that surface (the width times the height). The answer is written as units2
(Total population)divided by(total square miles)=Population per square mile
i dont really know and thats what im trying to find out
Radius is the square root of (area divided by pi).