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Hypothes9
9.1

Fundamentals of Hypothesis Testing: One-Sample Tests
A Connection Between Confidence Interval Estimation and Hypothesis Testing Can You Ever Know the Population Standard Deviation?

USING STATISTICS @ Oxford Cereals, Part II Fundamentals of Hypothesis-Testing Methodology The Null and Alternative Hypotheses The Critical Value of the Test Statistic Regions of Rejection and Nonrejection Risks in Decision Making Using Hypothesis Testing Hypothesis Testing Using the Critical Value Approach Hypothesis Testing Using the p-Value Approach

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Z Test of Hypothesis for the Proportion The Critical Value Approach The p-Value Approach
Potential HypothesisTesting Pitfalls and Ethical Issues

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t Test of Hypothesis for the Mean (S Unknown) The Critical Value Approach The p-Value Approach Checking the Normality Assumption
One-Tail Tests The Critical Value Approach The p-Value Approach

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Online Topic: The Power of a Test

USING STATISTICS @ Oxford Cereals, Part II Revisited CHAPTER 9 EXCEL GUIDE CHAPTER 9 MINITAB GUIDE

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Learning Objectives
In this chapter, you learn:
• The basic principles of hypothesis testing • How to use hypothesis testing to test a mean or proportion • The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated • How to avoid the pitfalls involved in hypothesis testing • Ethical issues involved in hypothesis testing

U S I N G S TAT I S T I C S

@ Oxford Cereals, Part II s in Chapter 7, you again find yourself as plant operations manager for Oxford Cereals. You are responsible for monitoring the amount in each cereal box filled. Company specifications require a mean weight of 368 grams per box. It is your responsibility to adjust the process when the mean fill weight in the population of boxes differs from 368 grams. How can you

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