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Part 1 - Additional Resources Allowed 1. Do early birds (people who tend to get up early in the mormings) live longer than night owls (people who tend to stay up late at night)? A recently published study in Chronobiology International surveyed a representative sample of more than 150,000 UK citizens between the ages of 38 and 73, and asked them whether they identified as night owls or early birds, and to what degree (moderate or definite). The researchers then recorded whether participants developed cardiovascular disease (CVD). The data are summarized below Definste Definite early birdnight owTotal 14.03159,045 24,83697.046 156,091 45,014 Developed CVD Did not develop CVD 72,210 117 2248 867 Let N definite night owl and Cdeveloped CVD a. Suppose we randomly select an individual from this study Calculate P(C N) b. Suppose we randomly selecd an mdrvidual from this study Calculate RCC N) 14031/38367-361 -45014/117224-0 384 c. [2 pts] Interpret your value from (b) in the context of the peoblem without using the words probability, chance, likelihood. etc. Hit pluink adout the defintion orprobabilitgu P-Value of 0384 means that if 1000 early birds arm chosem then 384 of the 1000 will develop CVD d. [3 pts] Download this data set from the Stat 216 course Webpage under Data sets.Use Tableau to create a bar praph of sleep habits, segmented by whether the patient had CVD or not. Be sure to convert the y-axis to percentages Make sure you inclad an informuatye title and a legend Include a

e The what you wnt to do p ts Download this data set from the Stat 216 course webpage create a bar graph of sleep habits, segmented by whether the patient had QVD or not. Be sure to convert the y-axis to percentages. Make sure you include an informative title and a lesg screenshot of your plot. Hint. Two of t match your answers to a, and b ATSst ata sets /Use T ableau to he percentages displayed in the segmented bar graph should 36. 1096 38,40% e. [2 pts] Based on these data, does it appear that thes apehatHorA bwema a persons sleep habits the likelibood of developing CVD? Explain, bon e thr ecafic values you are

Sheet 2 30.10% 38.40% e. [2 pts] Based on these data, does it appear that there is an association between a and the likelihood of developing CVD? Explain, being sure to site the specific values you are comparing in your answer f Can we apply this result to all UK residents? Select one. A. Yes, since the sample size is large enouglh. B. No, since the sample size is not large enough C. No, since it is not specified that this is a random sample D. Yes, since the sample is believed to be representative

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