Crash Course
Crash Course Statistics #29: Chi Square Tests
The moderator analyzes categorical variables by using Chi Square Tests: Goodness of Fit, Tests of Independence, and Test of Homogeneity.
Crash Course
Crash Course Statistics #21: How P Values Help Us Test Hypotheses
A video reviewing over on p-values and Null Hypothesis Significance Testing (or NHST). Learn how to use the NHST and p-value to tell you if something is statistically significant, but as you'll see that doesn't necessarily mean the...
Crash Course
Crash Course Statistics #26: Test Statistics
Do you know how close your predictions were to the actual value? This video will review over examples of both t-tests and z-tests to explain how critical values and p values are different ways of telling the same statistical information....
Crash Course
Crash Course Statistics #24: Bayes
This video discusses Bayes Theorem and Bayesian hypothesis testing.Learn how this theorem can be a very powerful tool because it allows us to incorporate both scientifically rigorous data AND our previous biases into our evolving...
Crash Course
Crash Course Statistics #22: P Values Problems
A video over viewing how p-values can be misinterpreted and how the logic of p-values can be misunderstood. [12:14]