Yes, it is.
Also normally distributed.
Yes, and more so for larger samples. (It follows from the Central Limit Theorem.)
When the standard deviation of a population is known, the sampling distribution of the sample mean will be normally distributed, regardless of the shape of the population distribution, due to the Central Limit Theorem. The mean of this sampling distribution will be equal to the population mean, while the standard deviation (known as the standard error) will be the population standard deviation divided by the square root of the sample size. This allows for the construction of confidence intervals and hypothesis testing using z-scores.
The statement is true that a sampling distribution is a probability distribution for a statistic.
Yes, it is.
Also normally distributed.
Yes, and more so for larger samples. (It follows from the Central Limit Theorem.)
A probability sampling method is any method of sampling that utilizes some form of random selection. See: http://www.socialresearchmethods.net/kb/sampprob.php The simple random sample is an assumption when the chi-square distribution is used as the sampling distribution of the calculated variance (s^2). The second assumption is that the particular variable is normally distributed. It may not be in the sample, but it is assumed that the variable is normally distributed in the population. For a very good discussion of the chi-square test, see: http://en.wikipedia.org/wiki/Pearson%27s_chi-square_test
the standard deviation of the population(sigma)/square root of sampling mean(n)
The mean of the sampling distribution is the population mean.
The statement is true that a sampling distribution is a probability distribution for a statistic.
A sampling distribution refers to the distribution from which data relating to a population follows. Information about the sampling distribution plus other information about the population can be inferred by appropriate analysis of samples taken from a distribution.
Multiple answers.Central Limit Theorem - A mathematical rule used in probability theory.Cargo Lift Trailer - Piece of Loading EquipmentCertified Lab Technician - Self-explanatory
The sampling distribution for a statistic is the distribution of the statistic across all possible samples of that specific size which can be drawn from the population.
welll its quiet simple to be honest 1st ASK YOUR TEACHER! that's what they are there for
As n increases the sampling distribution of pˆ (p hat) becomes approximately normal.