how to determine variance between two numbers?
223992
['Find the difference each number is away from the mean, and then square that difference. For example, subtract 38 from 21 and then square the result. ... ', 'Add together the two values you calculated in the previous step. For the example, add 289 and 289 to get a result of 578.', 'This is the variance between the two numbers. Tip.']
485409
['Direct material yield variance = (Standard output × Standard cost) – (Actual output × Standard cost) ... ', '*34,100 × (1,000/1,100) ... ', 'Direct material yield variance = (Actual quantity used × Standard cost) – (Standard quantity allowed for actual output × Standard cost) ... ', '*$41,800/1,100 tons = $38.00.']
47935
['Calculate the mean or average of each data set. ... ', 'Subtract the deviance of each piece of data by subtracting the mean from each number. ... ', 'Square each of the deviations.', 'Add up all of the squared deviations.', 'Divide this number by one less than the number of items in the data set.']
549927
Variance is calculated by taking the differences between each number in the data set and the mean, then squaring the differences to make them positive, and finally dividing the sum of the squares by the number of values in the data set.
1209860
['Subtract the expected value from the actual value (or the other way round) and get the absolute value of the difference: ABS(A2-B2)', 'Check if the absolute value is less than or equal to the allowed tolerance: ABS(A2-B2)<=C2.', 'Use the IF statement to return the desired messages.']
7154
['Calculate the mean.', 'Subtract the mean from each observation.', 'Square each of the resulting observations.', 'Add these squared results together.', 'Divide this total by the number of observations (variance, S2).', 'Use the positive square root (standard deviation, S).']
71720
['Work out the difference between the two numbers being compared.', 'Divide the increase by the original number and multiply the answer by 100.']
237171
To figure out the variance, subtract 82.5 from the mean, which is 5.5 and then divide by N, which is the value of numbers, (in this case 10) minus 1. The result is a variance of about 9.17. Standard deviation is the square root of the variance so that the standard deviation would be about 3.03.
967203
For that, you loop through the data set with a variable, say i and subtract i every time with the mean. Mean can be calculated as mean(dataset) . The result is the variance. So, for calculating the standard deviation, you have to square root the above value.
6244
To calculate the variance follow these steps: Work out the Mean (the simple average of the numbers) Then for each number: subtract the Mean and square the result (the squared difference). Then work out the average of those squared differences.
160117
Variance: Var(X) To calculate the Variance: square each value and multiply by its probability. sum them up and we get Σx2p. then subtract the square of the Expected Value μ
360517
['Find the difference each number is away from the mean, and then square that difference. For example, subtract 38 from 21 and then square the result. ... ', 'Add together the two values you calculated in the previous step. ... ', 'Divide your solution from the previous step by two since you have two observations.']
916902
['First, work out the average, or arithmetic mean, of the numbers: Count: (How many numbers) ... ', 'Then, take each number, subtract the mean and square the result: Differences: -7.6, -1.6, 5.4, 4.4, -0.6. ... ', 'Now calculate the Variance: Sum of Differences2: 109.2. ... ', 'Lastly, take the square root of the Variance: Standard Deviation:']
834187
['Direct materials quantity variance = SP x (SQ – AQ) ... ', 'Direct materials price variance = (SP – AP) x AQ = ($10.35 – $9.90) x 30,000 = $13,500 favorable.']
896234
Next, to calculate the variance, we take each difference from the mean, square it, then average the result. So, the variance is 6.8. And the standard deviation is the square root of the variance, which is 2.61.
368820
Follow these steps: Work out the mean (the simple average of the numbers.) Then, for each number, subtract the mean and square the result (the squared difference). Finally, work out the average of those squared differences. If the coefficient of variance is 16 and mean is 25, how do I find the variance?
273084
To figure out the variance, divide the sum, 82.5, by N-1, which is the sample size (in this case 10) minus 1. The result is a variance of 82.5/9 = 9.17. Standard deviation is the square root of the variance so that the standard deviation would be about 3.03.