Hypothesis Tests

Understand hypothesis testing as a type of statistical inference that uses sample data to make decisions about populations.
Provide a detailed explanation of each of the listed steps in a hypothesis test:

Explain the difference between a one-sided and two-sided hypothesis test. Give examples.
Describe a type I and type II error and the role these errors play in interpreting results.
Discuss the importance of power in planning and understanding research studies.
Compare the t-distribution to the N(0,1) distribution.
Identify a situation where a t statistic is more appropriate than using a z-score.
Describe a one-sample t-test and how to compute the t statistic.