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.
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
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.