Yes; when the variance is one.
yes, it can be smaller, equal or larger to the true value of the population varience.
You cannot prove it because it is not true.The expected value of the sample variance is the population variance but that is not the same as the two measures being the same.
No. Variance is always positive and so the sum of variances must also be positive.
yes
Yes, there is a mathematical proof that demonstrates the unbiasedness of the sample variance. This proof shows that the expected value of the sample variance is equal to the population variance, making it an unbiased estimator.
The proof that the sample variance is an unbiased estimator involves showing that, on average, the sample variance accurately estimates the true variance of the population from which the sample was drawn. This is achieved by demonstrating that the expected value of the sample variance equals the population variance, making it an unbiased estimator.
Standard Deviation = (principal value of) the square root of Variance. So SD = 10.
Yes, but negative variance indicates environmental variance (i.e., within-family or within-strain) is unusually high, possibly due to poor experimental design. Narrow sense heritability (h2, not H2) = (phenotypic variance - environmental variance) / phenotypic variance.
what is the value of the smallest division on a ammeter
The difference between the Actual Value & Earned Value is the Project Cost Variance
It is 0.6