In this video, I explain what IID (independent and identically distributed) means and how it applies to samples.
Link to my notes on Introduction to Data Science: https://github.com/knathanieltucker/d...
Try answering these comprehension questions to further grill in the concepts covered in this video:
1. Why is it so important to define your population of interest?
2. If two r.v. are not correlated, can they be dependent?
3. Why do we care about the sample values being independent rather than the r.v. that made them being independent?
4. How can we tell if our samples are IID?
5. What is a common way to get IID samples from a population?
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