answersLogoWhite

0

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.

User Avatar

Wiki User

12y ago

Still curious? Ask our experts.

Chat with our AI personalities

CoachCoach
Success isn't just about winning—it's about vision, patience, and playing the long game.
Chat with Coach
BlakeBlake
As your older brother, I've been where you are—maybe not exactly, but close enough.
Chat with Blake
MaxineMaxine
I respect you enough to keep it real.
Chat with Maxine

Add your answer:

Earn +20 pts
Q: What is the difference between a population distribution and sampling distribution?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Statistics

What is the difference between population distribution and sample distribution an d sampling distribution?

you can figure it out by going to google and googling it


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

A sampling distribution function is a probability distribution function. Wikipedia gives this definition: In statistics, a sampling distribution is the probability distribution, under repeated sampling of the population, of a given statistic (a numerical quantity calculated from the data values in a sample). I would add that the sampling distribution is the theoretical pdf that would ultimately result under infinite repeated sampling. A sample is a limited set of values drawn from a population. Suppose I take 5 numbers from a population whose values are described by a pdf, and calculate their average (mean value). Now if I did this many times (let's say a million times, close enough to infinity) , I would have a relative frequency plot of the mean value which will be very close to the theoretical sampling pdf.


What is the difference between quota sampling and cluster sampling?

What is the difference between quota sampling and cluster sampling


What is the difference between the sample mean and the population mean known as?

Sampling bias.


What is the difference between population and sample distribution?

Sampling distribution is the probability distribution of a given sample statistic. For example, the sample mean. We could take many samples of size k and look at the mean of each of those. The means would form a distribution and that distribution has a mean, a variance and standard deviation. Now the population only has one mean, so we can't do this. Population distribution can refer to how some quality of the population is distributed among the population.