Please read the article below, which addresses genetically modified (GM) foods and Europe's unwillingness to accept them. You are going to design (but not do) a test to see if genetically modified foods are different from non-genetically modified (NGM) foods. Assume you are designing a study that will analyze GM and NGM foods, and answer the following questions.

1. What will your null and alternative hypotheses be? (Hint: Ensure your null and alternative hypotheses are logical opposites. Express each of the two hypotheses with one complete sentence each.)

2. What significance level will you use to test this hypothesis? Why this level? (Hint: When are you most likely to use a high significance level—when making a statistical error would inflict catastrophic negative impact on the world or when it would inflict little negative impact?)

3. What statistic will you use to test the hypothesis? Why? (Hint: Check your null hypothesis…is it guessing about differences in averages or is it speculating about a relationship between two sets of data?)

4. Would the Chi Square hypothesis test apply to this study? Why? (Hint: Chi Square is for nominal data having no presumed distribution—are the data for your GM vs. NGM tests nominal without predetermined distribution?)

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