Data Backgrould: Hotel bookings This data set compares various booking information between two hotels: a city hotel and a resort hotel. The records are from 1 .1 July 201 5 to 31at August 2017. This database includes information such as when the booking was made, length of stay, the number of adults, children, and/or babies, and the number of available parking spaces, among other things. It is extracted from the Hotel 300mg Demand Datasets. Exhibit 4 Statistics City Hotel Resort Hotel Mean 3852.33 2411.50 Median 4181 2421.5 Standard Deviation 1006.34 448.82 Minimum 2254 1868 Maximum 5381 3257 Range 3127 1389 First Quartile 2788 2022.25 Third Quartile 4525.75 2576 Interquartile Range (IQR) 1737.75 553.75 Coefficient of Variation (CV) 26.12 18.61d) In Exhibit 4 we outline some summary statistics of hotel bookings across the City and Resort hotels (9. Describe the shape of the city and resort hotel variables. Give an explanation with values as evidence in your answer. (ii)- Using two measures, discuss in context the central tendency of the Hotel booking for both City and Resort Hotels. (iii)- To describing the variation of data, interpret the IQR and the Coefficient of Variation (CV) of the Resort hotel bookings. State with reasons which is best; IQR or CV measures is the best when comparing the variables of the C_ity hotel and the Resort hotels