a. Explain what it would mean for an association to exist between eye color and hair color.

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a. Explain what it would mean for an association to exist between eye color and hair color.
b. Do you think that an association exists between eye color and hair color? Explain your answer.
c. Use the data provided in the contingency table to decide, at the 5% significance level, whether an association exists between eye color and hair color.
d. The raw data on eye color and hair color are provided on the WeissStats CD. Use the technology of your choice to group the bivariate data into a contingency table.
Compare your results with the table presented on page 479.
At the beginning of this chapter, we presented a cross classification of data on eye color and hair color collected as part of a class project by students in an elementary statistics course at the University of Delaware.
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