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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