How to Do Random Sampling

Intermediate 30 min 15 steps 23663 views Rating: 3.9/5 Published: 2026-06-08

Use simple random sampling for small or homogenous populations.. Define your population.. Determine your desired sample size.

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Steps

1

Use simple random sampling for small or homogenous populations.

Step 1

Use simple random sampling for small or homogenous populations.

2

Define your population.

Step 2

Define your population.

3

Determine your desired sample size.

Step 3

Determine your desired sample size.

4

Assign an identifying number to each member of the population.

Step 4

Assign an identifying number to each member of the population.

5

Select your sample by lottery if you have a small population.

Step 5

Select your sample by lottery if you have a small population.

6

Use a random number generator for larger samples.

Step 6

Use a random number generator for larger samples.

7

Take multiple samples "without replacement" to avoid duplicates.

Step 7

Take multiple samples "without replacement" to avoid duplicates.

8

Opt for stratified sampling if you need more nuanced analysis.

Step 8

Opt for stratified sampling if you need more nuanced analysis.

9

Divide your population into strata by shared characteristics.

Step 9

Divide your population into strata by shared characteristics.

10

Decide on your desired sample size for each stratum.

Step 10

Decide on your desired sample size for each stratum.

11

Take a random sample from each stratum.

Step 11

Take a random sample from each stratum.

12

Use random cluster sampling when other methods are impractical.

Step 12

Use random cluster sampling when other methods are impractical.

13

Divide your population into several groups, called clusters.

Step 13

Divide your population into several groups, called clusters.

14

Take a random sample of the clusters.

Step 14

Take a random sample of the clusters.

15

Create your data set from every individual within each cluster.

Step 15

Create your data set from every individual within each cluster.

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