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.