Q: Can there be a 0 variance and if so what do you label it?

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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 standard deviation is the square root of the variance. So, if variance = 03 = 3 the std dev = sqrt(3) = 1.732

No. Variance is always positive and so the sum of variances must also be positive.

The mean deviation for any distribution is always 0 and so conveys no information whatsoever. The standard deviation is the square root of the variance. The variance of a set of values is the sum of the probability of each value multiplied by the square of its difference from the mean for the set. A simpler way to calculate the variance is Expected value of squares - Square of Expected value.

Favourable variance is that variance which is good for business while unfavourable variance is bad for business

Related questions

Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.

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 is: 0.666666666667

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

Program in CHere is a program in C to calculate mean variance and standard deviation: #include#includevoid main(){float a[50],sum=0,vsum=0,mean,variance,sd;int n,i;printf("Enter the no of valus");scanf("%d",&n);printf("Enter the no of valus");for(i=0;i

Variance = 0 means they are all the same. So the question is simplified to: what 5 identical values have a mean of 20. Since they are identical, their mean value is the same as themselves. So the answer, trivially, is [20, 20, 20, 20, 20].

If the budgeted amount is 0 and the actual amount is $300, what is the variance percentage?

Only one. A normal, or Gaussian distribution is completely defined by its mean and variance. The standard normal has mean = 0 and variance = 1. There is no other parameter, so no other source of variability.

0. When all the observations have the same value.

0.666666666667

Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.

1129.167