Week 6: Analysis of Variance (ANOVA)<br/>Introduction<br/>Rio Pizzeria

has recently hired three new delivery people. After one month, the manager of the pizzeria wants to determine how quickly his new hires are making their deliveries. Is one lagging behind the others? Is one doing exceptionally well compared to the other two? The manager has kept track of how long it takes each delivery person to drive from the pizzeria to his or her destination. Each delivery person travels the same main routes.
With this information, the manager could use analysis of variance, or ANOVA, to assess his delivery people. This technique can determine whether one of the delivery people has been traveling noticeably faster or slower than the others, or if they have all been basically equal. The manager can figure out who might deserve a raise—and who might need to find another line of work.
In this final week of the course, you will learn how to use and interpret hypothesis tests involving one-way analysis of variance. This builds upon your knowledge of the t tests you learned about last week.
Learning Outcomes
By the end of this week, you should be able to:

-Analyze and perform a one-way analysis of variance (ANOVA) using the four-step hypothesis test process
-Test hypotheses and independence using two-way tables
-Reflect on your experiences with statistical concepts
-Evaluate the application of statistical methods and reasoning

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