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The variance is: 1.6709957376e+13

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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.


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 zone variance letter?

no


If a sample of 66 employees were taken from a population of 820 employees s2 could refer to the variance of how many of the employees salarues?

In this context, ( s^2 ) would refer to the sample variance of the salaries of the 66 employees taken from the population of 820 employees. It is a measure of how much the salaries of these sampled employees deviate from their average salary. This sample variance provides an estimate of the variance of the population, assuming that the sample is representative.


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.

Related Questions

What is the proof that the sample variance is 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.


What is the variance with sample data set 9 14 19 16 8 6 17 11 18?

The variance of this data set is 22.611


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 there a proof that demonstrates the unbiasedness of the sample variance?

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.


Is sample variance unbiased estimator of population variance?

No, it is biased.


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