Sampling and Sampling Distributions

Crash Course Statistics

This week we have two videos from Crash Course Statistics. The first is one on Experimental Designs which may benefit many of you after the conclusion of this course.

The second is on Sampling which focuses more on the chapter elements. Sampling is one of the most important aspects of any quantitative study. If you underestimate a sample (aka undersample), then a whole study can become useless. If you overestimate a sample (aka oversample), then you’ll be doing a bunch of extra work for no reason.