If all other quantities remain the same, what happens to beta as the sample size increases?

Question

I cant answer thsi question as I missed the day of class we discussed beta. Its for a statistics class.

Answer 1

Beta is the probability of a type II error, accepting the null when the alternative is true.

1-beta is called the power or ability recognize that Ho is false.

A quote from my Marx and Larsen: " ...sample size is the parameter that researchers almost invariably turn to as the mechanism for ensuring that a hypothesis test will have sufficiently high power against a given alternative"...