BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -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-2: -In statistics, a sample group can be defined as a subset of a population. The population, or target population, is the total population about which information is required.

Detailed explanation-3: -Simple random sampling. In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample. Consequently, each possible sample also has an equal chance of being selected. To select a simple random sample, you need to list all of the units in the survey population.

Detailed explanation-4: -A sample refers to a smaller, manageable version of a larger group. It is a subset containing the characteristics of a larger population. Samples are used in statistical testing when population sizes are too large for the test to include all possible members or observations.

Detailed explanation-5: -Cluster sampling divides your population into groups and a simple random selection of those groups is made. You then survey everybody within the selected groups.