Once an individual is selected, the individual cannot be selected again.
lowest
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.
Sampling bias.
NO
a) T or F The sampling distribution will be normal. Explain your answer. b) Find the mean and standard deviation of the sampling distribution. c) We pick one of our samples from the sampling distribution what is the probability that this sample has a mean that is greater than 109 ? Is this a usual or unusual event? these are the rest of the question.
The mean of the sampling distribution is the population mean.
The sum will be zero or close to zero, depending on how the sampling was done. See related question.
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.
lowest
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.
No.
Sampling Error
Sampling bias.
NO
i dont no the answer
This is the Central Limit Theorem.