Systematic Random Sampling

by: Jose Radin L. Garduque

Systematic Random Sampling is a type of probability sampling technique where there is an equal chance of selecting each unit from within the population when creating the sample.

Let us have an example of using this random sampling. Imagine that a researcher wants to understand more about the career goals of students at Radin Global University…

Let’s say the university has 10,000 students. These students are our population (N). In order to select a sample (n) from those students, we need to follow the seven steps of SRS!

In our example, the population is 10,000 students at Radin Global University. The said population is expressed as “N”.

Let’s imagine that we choose a sample size of 100 students. The sample is expressed as “n”.

To select a sample of 100 students, we need to identify all 10,000 students by asking for a student list from the Office of the Registrar.

Assign a consecutive number from 1 to N, next to each student. In our case, this would mean 1 to 10,000.

Assuming that we have chosen the sample size of 100 students, we have to divide n/N, so that 1 student is selected in every 100 students.

Imagine the 1st unit was number 9, since this number fits between 0 and 100. As such, our first student would be the 9th on our list of 10,000 students.

We now select the remaining 99 students by using the 9th student as the starting point until it goes to the 109th, 209th, 309th and so forth.

A Report in Educ. 404(Statistics forEducational

Research)under Dr. FelimonPimentel in FilamerChristian University,Roxas City,

Philippines(1st Sem., A.Y. 2014-2015)