answersLogoWhite

0


Best Answer

Real

User Avatar

Wiki User

10y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What is Construction of a sampling distribution from scratch is feasible when the population is?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Math & Arithmetic

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.


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


When population distribution is right skewed is the sampling also with right skewed distribution?

If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.

Related questions

What is the mean of the sampling distribution equal to?

The mean of the sampling distribution is the population mean.


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.


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.


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


How do you investigate the distribution of sea snails?

By population sampling


A sample of 24 observations is taken from a population that has 150 elements The sampling distribution of the mean is?

A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is


When the population standard deviation is not known the sampling distribution is a?

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.


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

No, as you said it is right skewed.


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.