This video describes the four steps of hypothesis testing (2:08).

 

Describes the basic concepts of power and sample size calculations (4:53).

 

This is a tutorial on how to calculate Cohen’s d or the effect size for groups with different means (4:49).

 

This video discusses Type errors, Type II errors, their probabilities of occurring (alpha and beta) and the power of a hypothesis test (8:10).

 

 

This lecture discusses null hypothesis testing, Type I error, Type II error, and p values (27:59).

 

This lecture provides an illustrative example of null hypothesis testing and how assumptions regarding the characteristics of the normal curve allow us to make inferences from a sample to the population (26:48).

 

Lecture discusses power, ways to increase power, and advantages and disadvantages of each method. Also discusses effect size, Type II errors, beta, and power (43:16).

 

During this NPR clip, Phillip Zimbardo discusses his famous psychology experiment and how it relates to current events. This can be applied to learning about hypothesis testing and samples within a population (10:59).