BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -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-2: -Every possible group of units of the required size has the same chance of being the selected sample as any other sample of the same size. Q. This sample is selected by dividing the population into subgroups and then taking a fixed number of units from each group using the simple random sample.

Detailed explanation-3: -The minimum sample size is 100 Most statisticians agree that the minimum sample size to get any kind of meaningful result is 100. If your population is less than 100 then you really need to survey all of them.

Detailed explanation-4: -Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected. Data is then collected from as large a percentage as possible of this random subset.

Detailed explanation-5: -In simple random sampling, each data point has an equal probability of being chosen. Meanwhile, systematic sampling chooses a data point per each predetermined interval. While systematic sampling is easier to execute than simple random sampling, it can produce skewed results if the data set exhibits patterns.