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What will be the formula when mean and variance of 3 population are given?
Wiki User
∙ 10y ago
The formula for WHAT? Since you have not bothered to specify that crucial bit of information, I cannot provide a more useful answer.
The formula for WHAT? Since you have not bothered to specify that crucial bit of information, I cannot provide a more useful answer.
The formula for WHAT? Since you have not bothered to specify that crucial bit of information, I cannot provide a more useful answer.
The formula for WHAT? Since you have not bothered to specify that crucial bit of information, I cannot provide a more useful answer.
Wiki User
∙ 10y ago
Wiki User
∙ 10y agoThe formula for WHAT? Since you have not bothered to specify that crucial bit of information, I cannot provide a more useful answer.
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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.
What is a difference between a pooled variance and a combined variance?
Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same. A combined variance is a method for estimating variance from several samples, given the size, mean and standard deviation of each. Mathematically, a combined variance is equal to the calculated variance of the set of the data from all samples. See links.
Can the variance of a sample be larger than the sample mean?
Yes, Mean is given by, E(X) sum of samples / no. of samples. Variance is Var.(X) = E(X^2) - [E(X)]^2. It is the 1st term which makes the variation of variance independent of mean. In other words, Variance gives a measure of how far the samples are spread out.
What is one formula statisticians use?
Some formulas statisticians may use are population mean, sample mean, variance, and standard deviation. They may also use linear regression line and standard error equations. Another can be the mean value of a data set, where one adds all data points given in a set and divides this number by the number of data points in the set.
What is a true statement with regard to perform a two-parameter hypothesis testing?
It is a rare to have an unknown population mean and a known population 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.
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.
What is a difference between a pooled variance and a combined variance?
Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same. A combined variance is a method for estimating variance from several samples, given the size, mean and standard deviation of each. Mathematically, a combined variance is equal to the calculated variance of the set of the data from all samples. See links.
What is mean of any calculated number from a sample from the population is called statics such as the mean or the variance?
i mean conclucion
What is the definition of standard deviation and variance?
The set of X1, X2, ..., XN is called X. Given that mean(X), is the sum of all X divided by N, the variance of X is mean((Xi - mean(X))2). The standard deviation of X is the square root of the variance.
Can the variance of a sample be larger than the sample mean?
Yes, Mean is given by, E(X) sum of samples / no. of samples. Variance is Var.(X) = E(X^2) - [E(X)]^2. It is the 1st term which makes the variation of variance independent of mean. In other words, Variance gives a measure of how far the samples are spread out.
What is one formula statisticians use?
Some formulas statisticians may use are population mean, sample mean, variance, and standard deviation. They may also use linear regression line and standard error equations. Another can be the mean value of a data set, where one adds all data points given in a set and divides this number by the number of data points in the set.
What is a true statement with regard to perform a two-parameter hypothesis testing?
It is a rare to have an unknown population mean and a known population variance
How much error between sample mean and population mean?
The answer depends on the underlying variance (standard deviation) in the population, the size of the sample and the procedure used to select the sample.
In statistics what would you call the conclusions drawn about a population?
INFERENCES Any calculated number from a sample from the population is called a 'statistic', such as the mean or the variance.
When using the distribution of sample mean to estimate the population mean what is the benefit of using larger sample sizes?
The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.
When do you use a z-value rejection region when testing a claim about a population mean?
If you know the population variance or if you have a very large sample then you could reliably use a Z test. Otherwise you should use a t test and use s^2 as an estimator for the population variance.
