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Q: What is the reason for pooling a sample variance?
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Show that in simple random sampling the sample variance is an unbiased estimator of population variance?

It is a biased estimator. S.R.S leads to a biased sample variance but i.i.d random sampling leads to a unbiased sample variance.


Is sample variance unbiased estimator of population variance?

No, it is biased.


What is the sample variance of 5781010 and 14?

The variance is: 1.6709957376e+13


How do you prove that the sample variance is equal to the population variance?

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.


Can the variance of a sample be negaTIve?

No.


What is the sample variance with the mean of 190.3?

The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.


Do you have a sample school variance letter?

no


What does it mean to say that the sample variance provides an unbiased estimate of the population variance?

It means you can take a measure of the variance of the sample and expect that result to be consistent for the entire population, and the sample is a valid representation for/of the population and does not influence that measure of the population.


If a sample of size 3 students showed the following grades in a certain exam 74 75 and 76 then the variance is?

The sample variance is 1.


Do you have a sample school zone variance letter?

no


What is the relationship between standard deviation and variance for the same sample data?

The standard deviation is the square root of the variance.


What does n-1 indicate in a calculation for variance?

The n-1 indicates that the calculation is being expanded from a sample of a population to the entire population. Bessel's correction(the use of n − 1 instead of n in the formula) is where n is the number of observations in a sample: it corrects the bias in the estimation of the population variance, and some (but not all) of the bias in the estimation of the population standard deviation. That is, when estimating the population variance and standard deviation from a sample when the population mean is unknown, the sample variance is a biased estimator of the population variance, and systematically underestimates it.