November 2006
Intermediate to advanced
744 pages
29h 18m
English
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