Chapter 10

Hypothesis Testing


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


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