Hypothesis Testing Intro 02 single prop. A left-tailed test
Channel: Profbsmith
Date: 04/05/2020

Explores a second hypothesis test example involving proportions, performs a hypothesis test with two methods:
1) right-tailed test using a critical value test, and
2) by comparing the test statistic's p-value against alpha (significance level).

Discusses Type I and Type II errors briefly. Another definition for alpha is that it is the probability of committing a Type I error.

Type I error:   reject a true null hypothesis
Type II error:  fail to reject a false null hypothesis

Beta is the probability of a Type II error.  The "power" of a test is 1-Beta.