We have now learned about (a) samples that represent their populations and (b) simple probability. Inference is a conclusion reached on the basis of evidence and reasoning. The next step is to combine these ideas. Inferential statistics (a.k.a. Null Hypothesis Testing) use probability to determine whether a particular sample (or test outcome) is truly representative of a population from which the sample was originally drawn.
This video teaches the following concepts and techniques:
Introduction to inference in statistics
Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and datasets. As I add new files, they will appear here, as well.
https://drive.google.com/drive/folders/1n9aCsq5j4dQ6m_sv62ohDI69aol3rW6Q?usp=sharing
Table of Contents:
00:32 - Inferential Statistics
01:12 - Experimental vs. Control
02:37 - Hypotheses Testing
03:27 - Experimental Hypotheses
04:31 - Samples = Population
06:29 - The Experiment
06:49 - After Treatment
