Systematic Sampling
Last updated
Last updated
Selecting members at a regular interval (sampling interval) which provides a systematic approach to sampling that is less random than simple random sampling but typically easier and quicker to implement.
| Sl. No | Step | Description |
|---|---|---|
1
Define the Population Size (N)
Total number of individuals in the population
2
Determine the Sample Size (n)
Decide how many individuals you want in your sample
3
Calculate the Sampling Interval (k)
Divide the total population size by the desired sample size (k = N/n)
4
Random Start
Choose a random starting point within the first interval (between 1 and k)
5
Select Subsequent Samples
From the random start, select every k-th individual in the population list.
