After studying this chapter, you should be able to
explain why hypothesis testing is important
know how to establish null and alternative hypotheses about a population parameter
develop hypothesis testing methodology for accepting or rejecting null hypothesis.
use the test statistic z, t, and F to test the validly of a claim or assertion about the true value of any population parameter.
understand Type I and Type II errors and its implications in making a decision.
compute and interpret p-values
interpret the confidence level, the signifience level, and the power of a test
If there is an opportunity to make a mistake, sooner or later the mistake will be made.
—Edmond C Berekely