Question

Five different sampling methods are described below. Choose the one that defines stratified sampling.

1. Select members of a population by asking for volunteers, or otherwise find a sample that is easy to obtain and is not based on randomness or chance.

2. Order the population, select a random starting point and interval, then select individuals every interval from the starting point until the desired sample size is achieved.

3. Take a sample of size ?n from a population in such a way that every possible sample of size ?n has an equal probability of being chosen.

4. Divide a population into comparable groups, select a simple random sample of the groups, and then sample all of the individuals within each of the chosen groups.

5. Divide a population into groups based on similar characteristics, then take a random sample from each group.

Answer 1

The process for performing stratified sampling is as follows:

Step 1: Divide the population into smaller subgroups, or strata, based on the members’ shared attributes and characteristics.

Step 2: Take a random sample from each stratum in a number that is proportional to the size of the stratum.

Step 3: Pool the subsets of the strata together to form a random sample.

Step 4: Conduct your analysis.

Option 4 is correct.

4. Divide a population into comparable groups, select a simple random sample of the groups, and then sample all of the individuals within each of the chosen groups.

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