(1 point) It has been hypothesised that the probability of having an asthma attack on a particular day may vary across the days of the week. Baibergenov et al. (2005) report a longitudinal study in which the number of emergency department admissions due to asthma were recorded in Ontario between April 2001 and March 2004. Suppose the data were as in the table below: Day of attack Mon Tues Wed Thur Fri Sat Sun Number recorded 15456 13811 13228 12786 12446 14228 16837 Baibergenova, A., Thabane, L., Akhtar-Danesh, N., Levine, M., Gafni, A., Moineddin, R. and Pulcins, I. (2005): Effect of gender, age, and severity of asthma attack on patterns of emergency department visits due to asthma by month and day of the week. European Journal of Epidemiology 20, No.11, 947-956. Part a) Which graphical method would best display the above data? O A. A bar chart O B. A histogram O C. A stem-and-leaf plot O D. A pie chart O E. A boxplotPart b] Which of the following best descnbes the null hypothesis? 0 A. The probability of having an asthma attack in Ontario on a particular day varies across the days of the week. 0 B. The number of asthma attacks in Ontario per day varies by day of the week. 0 o. The probability of having an asthma attack in Ontario on a particular day does not vary across the days of the week. 0 D. There is no 1rariation in the daily number of asthma attacks in Ontario. 0 E. The mean number of asthma attacks in Ontario per day varies by day of the week. Part {:1 Under the null hypothesis, what would be the expected number of emergency admissions due to asthma in Ontario on a Tuesday? CINE your answer t0 2 decimal places. Part d] Compute your test statistic here using R, giving your answer to 2 decimal places. Part e] Proyide the Pyalue of your test to 3 decimal places