The sampling process helps create unbiased samples, by ensuring that the population of interest is defined before a sample is drawn.

Sampling is defined as a process in statistical analysis where researchers take a predetermined number of observations from a larger population.

In this video, lets explore the 5 steps in the sampling process.

This video is an introduction to the various aspects, however for a better understanding please check out the links from the "Additional Reading" section below and continue on your learning journey.

Note: Videos have been made with international students in mind, as such if your finding the speed of speech slow, please increase playback speed to 1.25 in YouTube.

I hope the video takes you beyond the definition & helps to make the learning process a little more tangible. Please subscribe & feel free to share.

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Video Content

0:00 - Introduction to Steps in the Sampling Process
- Definition of Sampling
- Advantage of Sampling

Steps in Sampling:
- Step 1 Defining the population
- Step 2 Framing the population
- Step 3 Choosing a sample design or technique
- Step 4 Determine the sample size
- Step 5 Executing the research

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Came across a great saying:
"Research is what I'm doing when I don't know what I'm doing." - Wernher von Braun

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Additional Reading:
What is Sampling in Research? - Definition, Methods & Importance
https://study.com/academy/lesson/what-is-sampling-in-research-definition-methods-importance.html

Six Stages to Choose Sampling Techniques
https://encyclopedia.pub/entry/19565

How to Determine Sample Size for a Research Study
https://www.geopoll.com/blog/sample-size-research/

Sampling frame
https://en.wikipedia.org/wiki/Sampling_frame

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School of Learning
Arnav Dutta
https://www.linkedin.com/in/arnav-dutta-a2020a44