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Q: Population has a mean of and micro80 and standard deviation of and sigma10. If a sample is taken from the population with a sample size of and 57345 25 find the percentage that the sample mean is samp?
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Related questions

What does the sample standard deviation best estimate?

The standard deviation of the population. the standard deviation of the population.


What percentage of the normally distributed population lies within the plus or minus one standard deviation of the population mean?

68.2%


What is the standard deviation of 157 160 161 172 165 149?

The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.


Can a standard deviation of a sample be equal to a standard deviation of a population?

Yes


Is population standard deviation the same thing as absolute standard deviation?

No.


What is the statistic that is used to estimate a population standard deviation?

the sample standard deviation


The population standard deviation is 100?

It can be.


What happens if you estimate population standard deviation with the sample standard deviation?

Not a lot. After all, the sample sd is an estimate for the population sd.


When the population standard deviation is not known the sampling distribution is a?

If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.


The standard deviation of the distribution of means is also known as the population standard deviation?

Yes.


How do i find sample standard deviation from population standard deviation?

If the population standard deviation is sigma, then the estimate for the sample standard error for a sample of size n, is s = sigma*sqrt[n/(n-1)]


What is a population standard deviation?

The true / real standard deviation ("the mean deviation from the mean so to say") which is present in the population (everyone / everything you want to describe when you draw conclusions)