Introduction to sampling
In this video, Ashley Dennis-Henderson defines the terms ‘population’, and ‘sample’ as they relate to statistics and data science. You will develop a foundational understanding of sampling methods and their importance in research.
You will learn the difference between random sampling and stratified random sampling, and the reasons why stratified random sampling results in more accurate representation within specific subgroups, or strata, of the population. Given many problems with research studies and their findings can be traced back to sampling issues, developing a strong understanding of good sampling practice will help you to identify issues with data.
Share your thoughts
Describe a challenge researchers might encounter in obtaining truly representative samples from a population. How could this challenge be addressed? Share your thoughts in the comments below.
Critical Evaluation in Data Science: Data, the World, and You
Critical Evaluation in Data Science: Data, the World, and You
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