For a binomial probability distribution, the variance is n*p*q which is 80*.3*.7 = 16.8. The standard deviation is square root of the variance which is 4.099; rounded is 4.1. The mean for a binomial probability distribution is n*p or 80*.3 or 24.
The variance is always positive. The variance is not directly related to the sign (nor magnitude) of the mean.
No. The variance of any distribution is the sum of the squares of the deviation from the mean. Since the square of the deviation is essentially the square of the absolute value of the deviation, that means the variance is always positive, be the distribution normal, poisson, or other.
The exponential distribution and the Poisson distribution.
the variance of the uniform distribution is (a+b)/12
yes
n(p)(1-p) n times p times one minus p, where n is the number of outcomes in the binomial distribution, and p is the probability of a success.
For a binomial probability distribution, the variance is n*p*q which is 80*.3*.7 = 16.8. The standard deviation is square root of the variance which is 4.099; rounded is 4.1. The mean for a binomial probability distribution is n*p or 80*.3 or 24.
The variance is always positive. The variance is not directly related to the sign (nor magnitude) of the mean.
No. The variance of any distribution is the sum of the squares of the deviation from the mean. Since the square of the deviation is essentially the square of the absolute value of the deviation, that means the variance is always positive, be the distribution normal, poisson, or other.
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
Negative price variance is when the cost is less than budgeted. Volume variance is a variance in the volume produce.
Since Variance is the average of the squared distanced from the mean, Variance must be a non negative number.
It is 0.6
The exponential distribution and the Poisson distribution.
the variance of the uniform distribution is (a+b)/12
No. Neither the standard deviation nor the variance can ever be negative.