It has the same shape, mean, and standard deviation as the population.
NO
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
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.
It will be the same as the distribution of the random variable itself.
you can figure it out by going to google and googling it
A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is
NO
i dont no the answer
A set of probabilities over the sampling distribution of the mean.
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
It will be the same as the distribution of the random variable itself.
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.
you can figure it out by going to google and googling it
No.
Sampling distribution in statistics works by providing the probability distribution of a statistic based on a random sample. An example of this is figuring out the probability of running out of water on a camping trip.
in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's
A statistic based on a sample is an estimate of some population characteristic. However, samples will differ and so the statistic - which is based on the sample - will take different values. The sampling distribution gives an indication of ho accurate the sample statistic is to its population counterpart.