MANAGEMENT

Detailed explanation-1: -The aim is to obtain a sample that is “representative” of the overall population. The population is divided ("stratified") by the most important variables such as income, age and location. The required quota sample is then drawn from each stratum.

Detailed explanation-2: -A population is a complete set of people with a specialized set of characteristics, and a sample is a subset of the population.

Detailed explanation-3: -A population is the entire group that you want to draw conclusions about. A sample is the specific group that you will collect data from. The size of the sample is always less than the total size of the population. In research, a population doesn’t always refer to people.

Detailed explanation-4: -If you are conducting research on a specific population, you will want to make sure that your sample of that population is representative. If your sample is representative of your population, you will be able to confidently generalize the results of your study to that population.

Detailed explanation-5: -Probability sampling means that every member of the population has a chance of being selected. It is mainly used in quantitative research. If you want to produce results that are representative of the whole population, probability sampling techniques are the most valid choice.