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The difference between sample mean and population mean is called the?
Sampling Error
How do you calculate the mean of the sampling distribution of the sample proportion?
i dont no the answer
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What are the sources of sampling errors?
Sampling and Non sampling errors
What would it mean If the sampling error was zero?
The sample consisted of the entire population.
What is the mean of the sampling distribution equal to?
The mean of the sampling distribution is the population mean.
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.
What does voluntary trade mean?
voluntary trade probably mean means to volunteer trade.
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.
What is the difference between the sample mean and the population mean known as?
Sampling bias.
The difference between sample mean and population mean is called the?
Sampling Error
What does voluntary muscle mean?
Voluntary muscles are those muscles that can be moved by the conscious effort and the will of an individual.
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.
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)
