Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2021/2022
Belonging course: 
Course of Bachelor's Degree Programme on ECONOMICS AND BUSINESS
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Language: 
Italian
Credits: 
9
Year of study: 
2
Teachers: 
Cycle: 
First Semester
Hours of front activity: 
72

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 a valid support to business decision in the different functional areas and to analyse 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 specific circumstances.

Prerequisites

Introduction to mathematics.

Syllabus

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 (12 hours):
Statistics for economics: ratios, index numbers (prices and production), time series, labour market.

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.
Inference: probability, random variables and probability distribution, sampling and sampling distributions, point estimate, confidence intervals and hypothesis tests.
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 from a quantitative viewpoint. Available e-learning at the following link:

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

Textbooks

Anderson D.R., Sweeney D.J., Williams T.A. (2014), Statistics for Business and Economics, II edition, South-Western Cengage Learning.
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.
For RCFL (labour market): https://www.istat.it/it/archivio/8263
Other readings can be downloaded on-line.

Learning assessment

The degree of learning is constantly assessed during the course by asking students to perform exercises, which are contextualised in economic and business fields. Towards the middle of the semester of lessons, a mid-term examination can be proposed. It consists of two exercises (univariate and bivariate statistics, respectively). Each exercise also includes open-ended questions. The time available for the test is 1 hour.
The final exam consists of a written and oral assessment. The written task is structured in four exercises. The first two concern univariate and bivariate statistics (only for students who have not taken the mid-term test), the third and fourth exercises concern statistical inference. All exercises also include open-ended questions. The time available for the complete test is 2 hours (1 hour for students who have already taken the mid-term examination). At least the first three exercises are required to pass the written test. The evaluation assigned to the written test is expressed on a scale from 0 to 30 (in the case of the mid-term test, the grade is obtained as the arithmetic average of the grades of the two tests).
The oral assessment allows the discussion of the written test and/or the evaluation of the topics covered by the program. Students who in the written test have achieved a grade not exceeding 27/30 can choose to discuss only their own written test, validating the grade. Students who in the written test have achieved an evaluation higher than 27/30 are required to take the oral test that covers all the topics of the program.
The final grade takes into account all the above-mentioned steps of the assessment process. The laude can be assigned if the student shows an excellent ability to reason, link and deepen the various topics addressed during the course.

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