# 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.

Steps:

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.