Random Sampling and Sampling Distribution

The variance of the sampling distribution of the sample means is given by, for infinite population.

A sampling technique by which every member of the population is selected with a random start.

The variance of the sampling distribution of the sample means is given by, for finite population.

A sampling technique by which the sample is taken from different levels generally from higher levels to lower levels.

Sampling technique that is used when the population can be classified into groups or strata based on characteristics.

A sampling technique that is done using the combination of different sampling techniques.

A sampling technique by which every member of the population has an equal chance to be chosen as sample(Drawn by lot).

It describes the entire population.

In CLT,computing the probability that 𝐗̅ will take on a value w/in a given range in sampling distribution of 𝐗̅,use:

It describes a sample as an estimate for the whole population.

The sum of all observations divided by the total number of observations.

A finite population is a population that has a fixed number of elements or observations.

The mean (_{μ_{\overline{x}}}) is equal to the mean ( μ ) of the population where the samples are taken.

When dealing with an individual data obtained from the population, the Formula to be used to standardize a raw data was:

The standard deviation is also called standard error of the mean.