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Once an individual is selected, the individual cannot be selected again.

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12y ago

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What is the mean of the sampling distribution equal to?

The mean of the sampling distribution is the population mean.


What does the sum of the deviations of each value from the mean equal?

The sum will be zero or close to zero, depending on how the sampling was done. See related question.


What does with replacement mean in math?

In mathematics, "with replacement" refers to a sampling method in which each item selected from a set is returned to the set before the next selection occurs. This means that each choice is independent, and the total number of possibilities remains constant throughout the sampling process. For example, if drawing a card from a deck with replacement, the same card can be drawn multiple times. This concept is commonly used in probability and statistics to analyze outcomes and events.


Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments?

Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments.


(b)For a set of numbers 1,4,7. Find population mean and Variance. Draw up frequency distributions of means of all possible samples of size 3 when sampling is carried out with replacement. Find mean and variance of distribution?

lowest


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.


Is the sampling of error larger when the sample mean is closer to the population mean?

No.


The difference between sample mean and population mean is called the?

Sampling Error


What is the difference between the sample mean and the population mean known as?

Sampling bias.


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

NO


How do you calculate the mean of the sampling distribution of the sample proportion?

i dont no the answer


The mean of a sampling distribution is equal to the mean of the underlying population?

This is the Central Limit Theorem.