Data 2.11 on page 111 introduces the dataset NutritionStudy which contains, among other things, information about smoking history and gender of the participants. Is there a significant association between these two variables? Use a statistical software package and the variables PriorSmoke and Gender to conduct a chi-square analysis and clearly give the results. The variable PriorSmoke is coded as 1 = never smoked, 2 = prior smoker, and 3 = current smoker.

Data 2.11 on page 111

In a study on the association between diet and levels of retinol and beta-carotene in the blood stream, researchers recorded a variety of dietary and demographic variables for the subjects. Variables include alcohol consumption, average daily calories, age, gender, multivitamin use, fat grams per day, fiber grams per day, smoking habits, etc. The data are available in NutritionStudy.