Chapter 10

Hypothesis Testing

LEARNING OBJECTIVES

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

10.1 INTRODUCTION ...

Get Business Statistics, Second Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.