FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Quota sampling is a non-probability sampling method that relies on the non-random selection of a predetermined number or proportion of units. This is called a quota. You first divide the population into mutually exclusive subgroups (called strata) and then recruit sample units until you reach your quota.

Detailed explanation-2: -Researchers then select random groups with a simple random or systematic random sampling technique for data collection and data analysis. Thus, option 3 is the correct answer.

Detailed explanation-3: -5.4. A stratified sample is when you divide your entire population in separate subpopulations (known as strata) and a separate sample is selected from within each subpopulation (Frankel, 1983). So, when collected, data analysis can be made for each subpopulation and can be combined for the entire population.

Detailed explanation-4: -The main difference is that in stratified sampling, you draw a random sample from each subgroup (probability sampling). In quota sampling you select a predetermined number or proportion of units, in a non-random manner (non-probability sampling).