1. Metodi Quantitativi per Economia, Finanza e Management Lezione n°4

2. Fonti di energia rinnovabili Fashion & Made in Italy Quale futuro per i megazine su carta Paid Information vs Free Information Acquisti on line Il futuro delle PAY TV La crisi economica e la stabilità della Comunità Economica Europea Il mercato del lavoro per i laureati Il pendolarismo Internet come fonte di informazione contrapposta ai canali tradizionali Consumo dei prodotti Hi-tech Titoli per Lavoro di Gruppo

3. Nuclear Energy vs Green Energy 3D, HD & Pay TV Samsung, Sony, Apple smarthphones Fashion shopping in Milan Holiday apartments vs Hotels Public transportation in Milan Young people and the banking/financial management Women Fitness Centers Highway Bars/Restaurants: Autogrill, Sarni, Fini Grill,…. Malpensa express vs MalpensaShuttle Titoli per Lavoro di Gruppo

4. Women's accessories / make-up Brand/Label Value: food, durables, fashion, … Male Magazines, Famale/Fashion Magazines, Home/Decor Magazines Supermarkets competition Online insurance companies vs traditional ones Zero Km food products Titoli per Lavoro di Gruppo

5. Nominal its used for qualitative data which are classified in defined categories with no a specific order Ordinal the categories have got a specific order; it enables to define a classification order among the categories but it does not enable to define any numeric assessment. Type of data - qualitative

6. Ratio scale through this type of data it is possible to determine the different ratio between one category and an other; the value 0 of the scale is set. i.e. The variables average expense and amount of time needed are measured in terms of ratio, that is they are within the framework of a comparative evaluation scale. Type of data - quantitative

7. Interval scale has the same characteristics as the previous scale, even though it has not got a fixed value 0. i.e. In a survey done on the customers of a supermarket, their degree of satisfaction can be appropriately measured through an evaluation scale between 1 and 9. What I can say is the difference between values 2 and 3 is exactly the same as between values 8 and 9, but I cannot state that the value 8 is twice as much as value 4. Type of data - quantitative

8. Qualitative –Nominal its used for qualitative data which are classified in defined categories with no a specific order. –Ordinal the categories have got a specific order; it does not enable to define any numeric assessment. Quantitative –Ratio scale through this type of data it is possible to determine the different ratio between one category and an other; the value 0 of the scale is set. –Interval scale has the same characteristics as the previous scale, even though it has not got a fixed value 0. Type of data Type of data guides the analyses Most of the quantitative methods deal with quantitative data