Metodi Quantitativi per Economia Finanza e Management Lezione

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

Titoli per Lavoro di Gruppo 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 Nuclear Energy vs Green Energy 3 D, 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 Malpensa. Shuttle

Titoli per Lavoro di Gruppo 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

Type of data - qualitative • Nominal it’s 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 - 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. 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 • 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 • Qualitative – Nominal it’s 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 guides the analyses Most of the quantitative methods deal with quantitative data