What is Type 1 error (size) and why does it matter.

What is Type 2 error (power) and why does it matter.

In what technical sense is running many hypotheses ("multiplicity") tests at the same time a problem?

Give two concrete examples of multiplicity.

How are results of running many hypothesis tests related to so-called "publication bias"?

Explain two ways the problem of multiplicity can be overcome.