Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2017/2018
Belonging course: 
Course of Bachelor's Degree Programme on INTERNATIONAL BUSINESS MANAGEMENT
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Language: 
Italian
Credits: 
12
Year of study: 
2
Teachers: 
Cycle: 
First Semester
Hours of front activity: 
96

Language

Italian

Course description

The course aims at offering students a tool of statistical methods that allow them to detect statistical data, summarize and interpret quantitative information in a business and economic framework. The course also aims at achieving the educational objectives to enable students to enter the labour market with skills for using statistical techniques as valid support to business decision in the different functional areas and to analyze different of economic dynamics.

EXPECTED LEARNING OUTCOMES:

Knowledge and understanding:
The student should be able to know the main theories and techniques for the collection, analysis and interpretation of business and economic data.

Applying knowledge and understanding:
The student should be able to use the acquired knowledge in practical circumstances, applying the main statistical tools, descriptive and inferential, for the data analysis with a special focus on the business and economic dynamics.

Making judgements:
The student should have the maturity and the ability to choose autonomously the more suited statistical technique to solve a specific problem.

Communication:
The student should be able to communicate clearly and with an adequate technical language the contents of the Course and to apply them in business and economic contexts.

Lifelong learning skills:
The student should be able to show a good learning ability and autonomy in investigating in-depth the matters of the Course using the references provided by the teacher. The student should be able to implement the more suited statistical tools in the specific circumstances

Prerequisites

Basic tools of Mathematics.

Syllabus

The arguments to study refer to the text "Statistica - metodologie per le scienze economiche e sociali", authors Borra and Di Ciaccio.

Part 1
Descriptive Statistics

Capitolo 1:La rilevazione dei fenomeni statistici STUDIO
Capitolo 2: Distribuzione di un carattere e sua rappresentazione - STUDIO:
Capitolo 3: Sintesi della distribuzione di un carattere – Le medie - STUDIO:
Capitolo 4: Sintesi della distribuzione di un carattere – La variabilità - STUDIO: da § 4.1 a 4.7; § 4.9; EXCLUDED: § 4.8

Capitolo 6: Analisi dell’associazione tra due caratteri - STUDIO: da § 6.1 a 6.2; da § 6.4 a 6.6 (no lambda of Goodman and Kruskal indexes, pages 143-144); § 6.8 a 6.9; EXCLUDED: § 6.3 and § 6.7

Part 2
INFERENTIAL STATISTICS

Capitolo 8: Probabilità: concetti di base
Il § 8.7 “Il teorema di Bayes” va integrato con il § 1.6 del libro Quintano-Castellano, pp. 22-28

Capitolo 9: Variabili casuali e distribuzioni di probabilità - TO STUDY: from § 9.1 to 9.5; § from 9.7 to 9.9; § 9.11
- § 9.8.2 “Distribuzione Normale” has to be integratedwith the pages 55-71 of the book "La Statistica in pratica", authors Quintano and Castellano, and with the tables in the Appendix II
- § 9.8.3 “Distribuzione Chi-quadrato” has to be integrated with Quintano-Castellano, pages 84-90, and with the tables in Appendix II
- § 9.8.4 “Distribuzione t di Student” has to be integrated with pages 79-84 of Quintano-Castellano, and with the tables in Appendix II.
- for § 9.8.5 “Altre distribuzioni continue”, only the Fisher distribution is included in the program and has to be integrated with pages 90-96 of Quintano-Castellano
- for § 9.11 “Teorema del limite centrale” see pages 96-97 of Quintano-Castellano
EXCLUDED: § 9.6 and § 9.10

Capitolo 10: Campionamento e distribuzioni campionarie (excluded sample distribution for proportion in case of small samples, p. 285)
- § 10.5 “Statistiche campionarie e distribuzione campionarie”, § 10.6 “La distribuzione della media campionaria nelle popolazioni infinite” e § 10.7 “La distribuzione della media campionaria nelle popolazioni finite” have to be integrated with pages 96-112 of Quintano-Castellano
Capitolo 11: Stima puntuale - from § 11.1 to 11.8; EXCLUDED: § 11.9

Capitolo 12: Stima per intervallo - STUDIO: (excluded sub par. “Intervallo esatto per piccoli campioni”, page 332)
- The study of this chapter has to be integrated with cap. 4 of Quintano-Castellano, pages 113-126

Capitolo 13: Teoria dei test statistici - from § 13.1 to 13.7; § 13.9; Excluded: § 13.8

Capitolo 14: Test per medie, proporzioni e varianze
- LThe study of this chapter has to be integrated with capp. 5, 6 and 7 of Quintano-Castellano, pages 127-208

Capitolo 15; Inferenza nell’approccio Bayesiano ; Excluded

Capitolo 16; Il modello di regressione lineare semplice
Capitolo 17; Inferenza nel modello di regressione lineare; from § 17.1 to § 17.2; Excluded: from § 17.3 to § 17.7
- The study of this chapter has to be integrated with cap. 8 of Quintano-Castellano, pages 217-232

Part 3
Statistics for business

See the didactic material downloadable from the professor's personal webpage

Multiple linear regression
Analysis of variance
The statistical ratios
Time series
Index numbers
Labour market
Purchasing Power Parity

STUDY PROGRAM
The contents of the course can be divided into three main topics:

I part (30 hours):
Descriptive Statistics: data collection, data distribution and representation (tables and graphs), summary indicators (means, variability and shape indexes), bivariate relationships, statistical dependence, linear regression and correlation.

II part (30 hours):
Inference: probability, random variables and probability distribution, sampling and sampling distributions, point estimate, confidence intervals and hypothesis tests.

III part (36 hours):
Statistics for economics: multiple regression analysis, ratios, index numbers (prices and production), time series, labour market indicators, spatial comparisons and purchasing power parity.

Teaching Methods

Traditional lectures, analysis of case studies, and exercises. Business and economic topics as well as the statistical tools and instruments will be discussed during the lessons. The discussion of study-cases and exercises enable the students to select and apply the more suited statistical instruments able to explore business and economic dynamics in a quantitative viewpoint. Available e-learning at the following link:

http://e-economiaegiurisprudenza.uniparthenope.it/moodle/course/category...

Textbooks

Berenson, Levine & Krehbiel (2012), Basic Business Statistics, 12th edition, Perason ed.
alternatively:
KUNDU Surinder, Business Statistics, http://www.ddegjust.ac.in/studymaterial/mcom/mc-106.pdf

Other readings can be downloaded on-line.

Learning assessment

The degree of learning has constantly assessed during the course by asking students to perform exercises and develop case studies related to business context and economic dynamics. Final written and oral assessments about all the topics covered in the program. Beyond exercises that are contextualised in real problems, the written assessment also includes open-ended questions. Moreover, the written assessment is integrated with the oral assessment by a discussion of the test and/or an in-depth assessment on all the topics of the program.

More information

Lectures are in Italian. The professor is fluent in English and is available to interact with students in English, also during the examination.

EXPECTED LEARNING OUTCOMES:

Knowledge and understanding:
The student should be able to know the main theories and techniques for the collection, analysis and interpretation of business and economic data.

Applying knowledge and understanding:
The student should be able to use the acquired knowledge in practical circumstances, applying the main statistical tools, descriptive and inferential, for the data analysis with a special focus on the business and economic dynamics.

Making judgements:
The student should have the maturity and the ability to choose autonomously the more suited statistical technique to solve a specific problem.

Communication:
The student should be able to communicate clearly and with an adequate technical language the contents of the Course and to apply them in business and economic contexts.

Lifelong learning skills:
The student should be able to show a good learning ability and autonomy in investigating in-depth the matters of the Course using the references provided by the teacher. The student should be able to implement the more suited statistical tools in the specific circumstances