SCENARIO 1 The Florida Department of Health studied smokers in the state of Florida. They recruited participants by putting an ad on social media targeting smokers in who live in Florida. They were able to study a total 1,500 eligible participants. Their research question was: How does the number of cigarettes smoked per week impact the number of minutes run continuously on a treadmill? 1. What is the n value of this study? 2. What is the population of interest in this study? 3. What type of sampling method is used in this study? 4. What type of data is used in this study (interval, nominal, or ordinal)? 5. How many variables are there in this study? What are they? After their study ended, the Florida Department of Health released the following data table. Mean Median Mode # of Cigarettes 14 14 14 per Week # of Minutes on 6 5 Treadmill 6. Using this data table, draw what you think the distribution might look like for each variable. You should have a total of 2 distributions: one for number of cigarettes and one for number of minutes on a treadmill. 7. How would you describe these distributions? (For example, are they normal, are they positively skewed, are they negatively skewed?) 8. Using what you know, what type of statistical test do you think the researchers used to answer the research question about smokers in the state of Florida? 9. Describe how you came to your answer in question 8. SCENARIO 2 In a separate smoking study done the year before, the Florida Department of Health released the following scatter plot. 50 50 Age 40 30 20 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Number of Cigarettes Per Week 10. Describe the correlation between age and number of cigarettes smoked per week (For example, is it strong, weak, positive, negative, or no correlation)