answersLogoWhite

0


Best Answer

in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's

User Avatar

Wiki User

10y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: Why you need sampling distribution?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What is the mean of the sampling distribution equal to?

The mean of the sampling distribution is the population mean.


True or False A sampling distribution is a probability distribution for a statistic?

The statement is true that a sampling distribution is a probability distribution for a statistic.


What distribution is a sampling distribution referring to?

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.


What is a sampling distribution?

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.


What is the difference between a population distribution and sampling distribution?

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.


When the population standard deviation is known the sampling distribution is a?

normal distribution


What will the sampling distribution of the mean be if a population is normally distribution?

Also normally distributed.


When the population standard deviation is known the sampling distribution is known as what?

normal distribution


What does the central limit theorem say about the shape of the sampling distribution of?

The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?


How does sampling distribution work in statistics?

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.


Why sampling needed?

Sampling is needed in order to determine the properties of a distribution or a population. Sampling allows the scientist to determine the variance in an estimate.


When a population distribution is right skewed is the sampling distribution normal?

No, as you said it is right skewed.