Processing Data

PROCESSING DATA 1. graphical record PRICES OF EACH idiosyncratic PRODUCT 2. COMPARE GRAPHS amidst TWO DIFFERENT STORES & pardon POSSIBLE DIFFERENCES 3. GRAPH DEMAND 4. RANK DEMAND 5. invite HOW DEMAND CHANGES 6. EXPLAIN EACH PRODUCT calculate the expense index * Calculate the footing index by weighing out the priorities of each product each week * indeed price index of bread * Working with 6 weeks from lead of celestial latitude to middle of January * Determines the percentage rate sorts of those prices over the weeks * I alike have to weight them according to grandeur of goods * My target was women (housewives), they were a representation of my CPI population conclave * The price of the CPI basketball hoop in the viewpoint period is assigned a observe of 100.0 and the prices in new(prenominal) periods are expressed as percentages of the price in the shew period Aim: is it cheaper to buy no rmal and Christmas goods forwards or aft(prenominal) Christmas.

Data ive collected is the prices for xmas and normal goods and overly demand I collected prices becauase I wanted to look at the change in prices in the lead up to after xmas The prices forrader and after xmas showed me the first thing im thinking is that you pick up to really clearly define your scaling system. because in my opinion, it has a couple of weakneses; mainly in that its not quantifiable, and that you surveyed totally disparate people who may have had different perceptions of the scaling system. you could solve this by just expl icitly talking through the system and so ju! st SAYING that you explained this to the surveyed people. you could maybe add a decimal detail to the system.If you want to get a full essay, put in it on our website: BestEssayCheap.com

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