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No one cares u dork what kind of question is this anway u dweeb

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Q: What is the standard error of the sampling distribution when you know the population standard deviation?
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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.


When the population standard deviation is known the sampling distribution is a?

normal distribution


When the population standard deviation is known the sampling distribution is known as what?

normal distribution


What is the standard error of the sampling distribution equal to when you do not know the population standard deviation?

You calculate the standard error using the data.


When the population standard deviation is unknown the sampling distribution is equal to what?

The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.


What is sampling distribution of the mean?

Thanks to the Central Limit Theorem, the sampling distribution of the mean is Gaussian (normal) whose mean is the population mean and whose standard deviation is the sample standard error.


When may the sampling distribution of x̅ be considered to be approximately normal?

the standard deviation of the population(sigma)/square root of sampling mean(n)


Is the standard deviation of the sampling distribution of the sample mean is o?

NO


You take an SRS of size n from a population that has mean 80 and standard deviation 20 How big should n be so that the sampling distribution has standard deviation 1?

400


As the sample size increases the standard deviation of the sampling distribution increases?

No.


What is Confidence Intervals of Standard Error?

The standard deviation associated with a statistic and its sampling distribution.


Which of the following is true regarding the sampling distribution of the mean for a large sample size?

It has the same shape, mean, and standard deviation as the population.