Average = (0+0+1+2+3)/5 = 1.2 Variance = 1/N * SUM (x-E(x))2 = 1/5 * 6.8 = 1.36 Answer: Variance = 1.36
The variance is 27.0
The variance for 3 5 12 3 2 is: 16.5
There are 7 variances associated with a budget ( which are generally calculated for controlling purposes) 1- Material Price variance 2- Material Quantity variance 3- Labor rate variance 4- Labor efficiency variance 5- Spending variance 6- Efficiency variance 7- Capacity variance
The variance of 5 9 8 9 9 = 3
Average = (0+0+1+2+3)/5 = 1.2 Variance = 1/N * SUM (x-E(x))2 = 1/5 * 6.8 = 1.36 Answer: Variance = 1.36
The variance is 27.0
The variance for 3 5 12 3 2 is: 16.5
The variance of 2 3 5 12 = 20.3333
The variance of the numbers 1 7 10 and 3 is: 16.25
There are 7 variances associated with a budget ( which are generally calculated for controlling purposes) 1- Material Price variance 2- Material Quantity variance 3- Labor rate variance 4- Labor efficiency variance 5- Spending variance 6- Efficiency variance 7- Capacity variance
Variance = sigma((value - mean)2) / (# values - 1) Mean = (0+1+1+2)/4 = 1 Variance = ((0-1)2+(1-1)2+(1-1)2+(2-1)2)/(4-1) Variance = (1+0+0+1)/3 Variance = 2/3 Variance ~ 0.667
The variance of 5 9 8 9 9 = 3
The standard deviation of 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is approximately 2.87. So, if you're into numbers, that's the magic number you're looking for. But hey, don't stress about it too much, just know that's the spread of those digits.
The variance of 2 6 1 4 2 2 4 3 2 = 2.3611
The sample variance is 1.
The sample variance is obtained by dividing SS by the degrees of freedom (n-1). In this case, the sample variance is SS/(n-1) = 300/(4-1) = 300/3 = 100 In order to get the standard error, you can do one of two things: a) divide the variance by n and get the square root of the result: square.root (100/4) = square.root(25) = 5, or b) get the standard deviation and divide it by the square root of n. 10/square.root(4) = 10/2 = 5