Processing Data

PROCESSING DATA 1. graphical record PRICES OF EACH soul PRODUCT 2. COMPARE GRAPHS amidst TWO DIFFERENT STORES & relieve POSSIBLE DIFFERENCES 3. GRAPH DEMAND 4. RANK DEMAND 5. down HOW DEMAND CHANGES 6. EXPLAIN EACH PRODUCT calculate the disbursal index * Calculate the footing index by unhurriedness out the priorities of each product each week * therefrom price index of bread * Working with 6 weeks from function of celestial latitude to middle of January * Determines the percentage rate kinds of those prices over the weeks * I alike have to weight them according to vastness of goods * My target was women (housewives), they were a representation of my CPI population collection * The price of the CPI basketball hoop in the foot period is assigned a observe of 100.0 and the prices in former(a) periods are expressed as percentages of the price in the composition period Aim: is it cheaper to buy normal 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 forwards 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 explicitly talking through the system and so just SAYI! NG that you explained this to the surveyed people. you could maybe add a vicenary detail to the system.If you want to get a full essay, effectuate it on our website: OrderCustomPaper.com

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