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CHAPTER9 ONE-SAMPLE TESTS OF HYPOTHESIS LIND MARCHAL WATHEN WAITE © 2015 McGraw-Hill Education 2 Learning Objectives LO1 Define a hypothesis. LO2 Explain the five-step hypothesis testing procedure. LO3 Define Type I and Type II errors. LO4 Define the term test statistic and explain how it is used. LO5 Distinguish between a one-tailed test and a two-tailed test of hypothesis. LO6 Conduct a test of hypothesis about a population mean. LO7 Compute and interpret a p-value. LO8 Conduct a test of hypothesis about a population proportion. © 2015 McGraw-Hill Education 3 Learning Objective LO 1 DEFINE A HYPOTHESIS © 2015 McGraw-Hill Education 4 What is a Hypothesis? A hypothesis is a statement about a population parameter subject to verification. In statistical analysis we make a claim, that is, state a hypothesis, collect data, and then use the data to test the claim. Example: A hypothesis might be that the mean monthly commission of sales associates in a retail electronic store is $3000. LO1 © 2015 McGraw-Hill Education 5 What is Hypothesis Testing? The terms hypothesis testing, significance testing, and testing a hypothesis are used interchangeably. Hypothesis testing is a procedure based on sample evidence and probability theory to determine whether the hypothesis is a reasonable statement. Example: To test the validity of the assumption on the previous slide (μ = $3000), we select a sample from the population of all sales associates, calculate sample statistics and, on the basis of specific decision rules, reject or not reject the hypothesis. LO1 © 2015 McGraw-Hill Education 6
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