1. Find the arithmetic mean (average)
2. Find the distance of each number from the mean (x-the mean=?)
3. Square each number
4. Add up all of the squares
5. Divide the final sum by the original mean
EX: Set: 1, 3, 4, 5, 7
1. 1 + 3 + 4 + 5 + 7 = 20 / 5 = 4
2. 1-4=-3 3-4=-1 4-4=0 5-4=17-4=3
3. 3*3=9 1*1=1 0*0=0 1*1=13*3=9
4. 9 + 1 + 0 + 1 + 9 = 20
5. 20 / 4 = 5
35.34, 38.93, 39.43, 42.09,43.39, 49.26
The variance is: 79.0
The variance is: 500.0
The variance is: 76.7
The variance is: 3.8
35.34, 38.93, 39.43, 42.09,43.39, 49.26
The variance is: 79.0
In statistics, variance measures how far apart a set of numbers is spread out. If the numbers are identical, the variance is zero. Variance can never be negative.
The variance is: 500.0
A variance is a measure of how far a set of numbers is spread out around its mean.
To figure the variance on a group of numbers, you must first figure out the mean, which is the average of the set. Then, substract the mean from each number in the set. Square the result of those substractions, and then average the squares. You will then have the variance.
Square the standard deviation to obtain the variance. The variance is 62 or 36.
The variance is: 76.7
lowest
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.
The error in which a particular numbers are set apart is called error variance.
To find the standard deviation of a set of numbers, you first need to calculate the variance. In this case, the set of numbers is {80, 0.8, 0.2}. To calculate the variance, you need to find the mean of the set first. The mean is (80 + 0.8 + 0.2) / 3 = 27. To find the variance, you need to calculate the sum of the squared differences between each number and the mean, then divide by the number of elements in the set. Finally, the standard deviation is the square root of the variance.