Unit 3: Foundations for inference
Reading:
Learning objectives:
Videos:
All videos are best viewed in full screen.
Sample vs. sampling distribution:
This video discusses what is meant by the term "sampling distribution".
Working with the CLT for means:
This video discusses using the CLT for understanding the sampling distribution of the mean.
Distribution of the sample mean:
This is another video on sampling distributions for the mean.
Central Limit Theorem:
This video discusses the central limit theorem (for the mean).
Sampling distribution of the mean:
This video discusses the sampling distribution of the mean.
Null and alternative hypotheses:
This video discusses setting up competing claims in a hypothesis test.
Calculating power:
This video discusses calculating power of the test.