BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling.

Detailed explanation-2: -Systematic sampling refers to the method of data collection in which information is collected randomly i.e. equal preference is given to every item present in the population and it is also known as quasi random sampling.

Detailed explanation-3: -It is a method of probability sampling method. In this type of sampling, there is a defined targeted population where the first unit of the sample is selected randomly and then for rest units is selected according to the position employing skip interval method.

Detailed explanation-4: -Use systematic sampling when there’s low risk of data manipulation. Systematic sampling is the preferred method over simple random sampling when a study maintains a low risk of data manipulation.

Detailed explanation-5: -There are four primary, random (probability) sampling methods – simple random sampling, systematic sampling, stratified sampling, and cluster sampling.