(a) Identify if statistical analysis or data mining is more appropriate for each of the following situations. i) Pattern of buying habits of customers in Coles supermarket depending on the total money each customer spends. ii) Predicting the likely winner of an election from a survey of 100 randomly selected votersl b) Identify each of the following data to be nominal, ordinal, interval or ratio. i) Driving licence number of a person. ii) Weight of 10 books which are arranged from the cheapest to the most expensive. 0) Choose the most appropriate sampling method for each of the following scenarios and justify your answer in less than 25 words. i) A manufacturer wants to know how many hours a typical household in Australia in cool, moderate and hot climates would run a reverse cycle air-conditioner in a year. ii) A metal sheet cutter machine may lose sharpness of its blade after cutting many sheets. This happens gradually depending on the hardness and thickness of sheets, and time is unknown. An inspector checks the smoothness of cuts to determine if the blade needs replacement. What kind of sampling should he do to select cut sheets to check for smoothness of the cut