Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2015/2016
Partition: 
Matricole dispari
Belonging course: 
Course of Bachelor's Degree Programme on ECONOMICS AND BUSINESS
Location: 
Napoli
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Credits: 
9
Year of study: 
2
Teachers: 
Cycle: 
First Semester

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.

Prerequisites

Basic tools of General Mathematics.

Syllabus

With reference to the text book Borra–Di Ciaccio:

Part 1
DESCRIPTIVE STATISTICS

CHAPTER 1 the whole chapter has to be studied
CHAPTER 2 the whole chapter has to be studied
CHAPTER 3 the whole chapter has to be studied
CHAPTER 4 from § 4.1 to 4.7; § 4.9
Exclusion: § 4.8
CHAPTER 5 NO
CHAPTER 6 from § 6.1 to 6.2; from § 6.4 to 6.6 (excluded Goodman and Kruskal lambda index, pages143-144); from § 6.8 to 6.9
Excluded: § 6.3 and § 6.7
CHAPTER 7 NO

Second part
INFERENTIAL STATISTICS

CHAPTER 8 the whole chapter has to be studied
CHAPTER 9 from § 9.1 to 9.5; from § 9.7 to § 9.9; § 9.11
For the arguments of this chapter see also the text book Quintano-Castellano
Excluded: § 9.6 and § 9.10

CHAPTER 10 the whole chapter has to be studied
For the arguments of this chapter see also the text book Quintano-Castellano
pages 96-112

CHAPTER 11 from § 11.1 to 11.8
Excluded: § 11.9

CHAPTER 12 the whole chapter has to be studied
For the arguments of this chapter see also the text book Quintano-Castellano
pages. 113-126

CHAPTER 13 from § 13.1 to 13.7; § 13.9
Excluded: § 13.8

CHAPTER 14 the whole chapter has to be studied
Excluded: § 14.5.3
For the arguments of this chapter see also the text book Quintano-Castellano
pages. 127-208

CHAPTER 15 NO
CHAPTER 16 the whole chapter has to be studied
CHAPTER 17 from § 17.1 to § 17.2
Excluded: from § 17.3 to § 17.7
For the arguments of this chapter see also the text book Quintano-Castellano
pages. 217-232

Time series Lecture notes by the teacher (web site)
Index numbers Lecture notes by the teacher (web site)
Labour market Lecture notes by the teacher (web site)

The contents of the course can be divided into three main topics:
1) 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.
2) Inference: probability, random variables and probability distribution, sampling and sampling distributions, point estimate, confidence intervals and hypothesis tests.
3) Statistics for economics: ratios, index numbers (prices and production), time series, labour market.

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

Borra S., Di Ciaccio A. (2014), Statistica – Metodologie per le scienze economiche e sociali, McGraw-Hill, III edizione.
Quintano C., Castellano R., La Statistica in pratica: Esempi per l’Economia e le Aziende, Liguori.

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

During the course, various cases study will be proposed