Sampling Design

The subset of the population

• variable

• sample

• universe

A characteristic of interest measurable on each and every individual in the universe, denoted by any capital letter in the English alphabet

• variable

• sample

• parameter

A numerical measurement describing some characteristic of population

• variable

• parameter

• statistic

Defined as recorded factual material commonly retained by and accepted in the scientific community as necessary to validate research findings (regardless of the format, that is, digital or non-digital)

• variables

• samples

• data

• parameters

The deviation of the selected sample from the true characteristics, traits, behaviors, qualities or figures of the entire population

• Sampling Error

• Standard Deviation

• Weighted Mean

Every element has an equal chance of getting selected to be the part sample. It is used when we don’t have any kind of prior information about the target population.

• Simple Random Sampling

• Stratified sampling

• Systematic sampling

• Cluster Sampling

• Multi stage Sampling

This technique divides the elements of the population into small subgroups based on the similarity in such a way that the elements within the group are homogeneous and heterogeneous among the other subgroups formed. And then the elements are randomly selected from each of these strata. We need to have prior information about the population to create subgroups.

• Simple Random Sampling

• Stratified sampling

• Systematic sampling

• Cluster Sampling

• Multi stage Sampling

This is a reason for sampling which emphasizes on saving time, resources and effort.

• Practicality

• Necessity

• Economy

• Ethicality

A type of sampling that needs to select the sample size more than once.

• Stratified

• Systematic

• Simple

• Multi-stage

You want to know which game genre do the students like. You ask the students to participate by going to the office on a given schedule and have them complete the survey. This is...

• Biased, because it is a convenience sample

• Biased because it is an interval sample

• Unbiased

• Biased because it is a volunteer sample