BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Stratified random sampling examines the characteristics of a population group and breaks down the population into what is known as strata. Dividing out the population by strata helps an analyst to easily choose the appropriate number of individuals from each stratum based on proportions of the population.

Detailed explanation-2: -Sampling is the process of selecting a representative group from the population under study. The target population is the total group of individuals from which the sample might be drawn. A sample is the group of people who take part in the investigation.

Detailed explanation-3: -Probability sampling refers to the selection of a sample from a population, when this selection is based on the principle of randomization, that is, random selection or chance.

Detailed explanation-4: -Description: Random sampling is one of the simplest forms of collecting data from the total population. Under random sampling, each member of the subset carries an equal opportunity of being chosen as a part of the sampling process.

Detailed explanation-5: -The process of using sample statistics to make conclusions about population parameters is known as inferential statistics. In other words, data from a sample are used to make an inference about a population.