Metodi Quantitativi per Economia, Finanza e Management Lezione n

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Metodi Quantitativi per Economia, Finanza e
ManagementLezione n4

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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

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Titoli per Lavoro di Gruppo
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
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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
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Type of data - 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 enables to define a classification
  order among the categories but it does not enable
  to define any numeric assessment.

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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.

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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.

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Type of data

• 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 guides the analyses
Most of the quantitative methods deal with
quantitative data