Part VI: Now Its Your Turn!

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Analytical Sciences Digital Library

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Answers, of course, will vary.

In addition to duplicating some of the questions considered in this case study using the additional data sets or newly collected data, students should be able to extend the concept of a t-test to include comparisons of different colors of M&Ms or off different types of M&Ms, and a consideration of paired vs. unpaired data. Students also can explore their ability to model data using the binomial distribution to model the distribution of samples of fixed size, or using the Poisson distribution to model the frequency of a rare event, such as the presence of damaged M&Ms in bags of a fixed size.

Other types of analyses that go beyond what is presented in this case study include linear regression (for example, mass as a function of diameter using Data Set 2), analysis of variance, and quality control charts.