Systematic Sampling

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. NoStepDescription

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.

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