This unit will talk about sampling distributions of the sample mean and the sample proportion. When we calculate the mean and the standard deviation for the population data, we know it is constant. However, when we calculate the mean and standard deviation for the sample data, it is a random variable. Since a random variable has a probability distribution, the concept of probability distribution will be extended for the mean, standard deviation, mode, and so forth...
Study this unit very well since it will help you better understand inferential statistics.
Population distribution
Learn to find the probability distribution using all elements of a population.
Sampling distribution
Learn to find the probability distribution of the sample mean using a samples of the population.
Sampling and nonsampling errors
Learn the difference between sampling error and nonsampling error
Mean of the sampling distribution of x̄
Learn to calculate the mean of all possible sample means.
Standard deviation of the sampling distribution of x̄
Learn when and how you can find the standard deviation of the sampling distribution.
Sampling from a normally distributed population
Find out how to get the mean and standard deviation for a normally distributed population.
Central limit theorem
Find out how to get the mean and standard deviation for a population that is not normally distributed.
Sep 24, 21 03:39 AM
What is the additive inverse of a complex number? Definition and examples