From the course: Data Literacy: Exploring and Describing Data
Join today to access over 24,700 courses taught by industry experts.
Inference as describing populations
From the course: Data Literacy: Exploring and Describing Data
Inference as describing populations
- [Instructor] A population is everybody that you might be concerned about. And it might be that you have this wonderful, huge, diverse audience at least potentially out there waiting for you. On the other hand, your sample, the people you actually have data about, the experience that you've had might be a much smaller part of that. And this gets it to the issue of how much can you learn about the larger population when all you have is data from a smaller sample? And this is the problem of inference and attempting to describe populations that are only partially observed. Now, they're few things that go into this that make it possible to make that conceptual leap. Number one is sampling. You need to have representative sampling. That is the sample of people that you're dealing with needs to be representative a good standing, a good picture of the larger population if going to get anywhere, random samples or something like that. Even though conceptually, they're easy to describe…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.