You calculate it using the appropriate formula, which, given the limitations of this site, is not easy to reproduce. However, you can easily Google the formula.
No, it is biased.
independent or quasi-independent variable
26.66...
That would depend upon which desert and your specific location in that desert.
40.828
Variance is 362 or 1296.
The variance is: 3.96
The variance is: 76.7
To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.
No, you have it backwards, the standard deviation is the square root of the variance, so the variance is the standard deviation squared. Usually you find the variance first, as it is the average sum of squares of the distribution, and then find the standard deviation by squaring it.
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
You cannot.
you have to first find the Mean then subtract each of the results from the mean and then square them. then you divide by the total amount of results and that gives you the variance. If you square root the variance you will get the standard deviation
Difference between actual amount and budgeted amount is called "Variance" and variance analysis is done to find out the reasons for variance
you have to first find the Mean then subtract each of the results from the mean and then square them. then you divide by the total amount of results and that gives you the variance. If you square root the variance you will get the standard deviation
If you assume a binomial distribution, the variance is n*p*(1-p) where n is the number of voters = 30 p is the probability of support = 0.36 So variance = 30*0.36*0.64 = 6.912
If each observation is multiplied by 3, the median is 105 and the variance is 9 times 2.56 = 23.04.