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What is the variance of these set of numbers 11 24 7?
The variance is: 79.0
What is the variance of these set of numbers 10 30 40 50 70?
The variance is: 500.0
What choices is variance of the sample shown here 353641566071?
To calculate the variance of the sample data set 353641566071, first find the mean by adding all the values together and dividing by the number of values. Then, compute the squared differences between each value and the mean, and average those squared differences to obtain the variance. The choices for variance would typically be numerical values reflecting the dispersion of the data around the mean.
What is the sample mean indicated for 23 8 3 6 10?
To find the sample mean, add all the numbers together and then divide by the total count of numbers. For the given set (23, 8, 3, 6, 10), the sum is 50. There are 5 numbers, so the sample mean is 50 divided by 5, which equals 10.
Is the variance of a group of scores the same as the sum of the squared deviations or the average of the squared deviations?
Given a set of n scores, the variance is sum of the squared deviation divided by n or n-1. We divide by n for the population and n-1 for the sample.
What is the variance of these set of numbers 11 24 7?
The variance is: 79.0
What is varience?
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.
What is the variance with sample data set 9 14 19 16 8 6 17 11 18?
The variance of this data set is 22.611
What is the variance of these set of numbers 10 30 40 50 70?
The variance is: 500.0
What does variance mean in mathematics?
A variance is a measure of how far a set of numbers is spread out around its mean.
How do you figure the variance on a group of numbers?
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.
Set of 25 numbers has standard deviation 6 then it's variance is?
Square the standard deviation to obtain the variance. The variance is 62 or 36.
What choices is variance of the sample shown here 353641566071?
To calculate the variance of the sample data set 353641566071, first find the mean by adding all the values together and dividing by the number of values. Then, compute the squared differences between each value and the mean, and average those squared differences to obtain the variance. The choices for variance would typically be numerical values reflecting the dispersion of the data around the mean.
(b)For a set of numbers 1,4,7. Find population mean and Variance. Draw up frequency distributions of means of all possible samples of size 3 when sampling is carried out with replacement. Find mean and variance of distribution?
lowest
How do you find variance of 2 sets of numbers?
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.
Define error variance-?
The error in which a particular numbers are set apart is called error variance.
How do you calculate salary variance?
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.
