BUSINESS STATISTICS

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

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Single discipline educational activity

Course Sheet

Course code:

00099L

Academic Year of enrolment:

2017

Year of supply:

2017/2018

Type of Course:

Characterising

Degree:

Course of 2nd Cycle Degree in BUSINESS ADMINISTRATION

Disciplinary Sector:

Statistics for Economics

Location:

PESCARA

Credits:

Programme Year:

Professor and Collaborators:

POSTIGLIONE PAOLO

Cycle:

Second semester

Hours of classroom activity:

Individual study hours:

102

Prerequisites:

The knowledge of Basic Statistics is requested.

Objectives

The course aims to provide to the students with the basic knowledge of some statistical methodologies useful for corporate governance. It wants to help students to familiarize with the open source statistics package R.

Contents

Content:
1. Basic concepts of probability and statistical inference.
Discrete and continuous random variables. Expected values, variability. Point estimation. Confidence intervals. Hypothesis test.
2. R statistical software. 3. Basic concepts of linear algebra: vectors and matrices; Determinant and inverse of a matrix.
4. The linear regression model
Simple linear regression. Multiple linear regression. Inference. Eteroschedasticity and Autocorrelation. Dummy variables. Instrumental variables.
5. The linear regression model and R.
Study cases.
6. The logistic regression model.
Definitions. Parameter Estimation and Interpretation.
7. The logistic regression model and R.

Recommended Bibliography

- Course slides.
- PICCOLO D. (2010). Statistica. Edizioni Il Mulino. (Cap. 14 pagg.491-501; 520-526; Cap. 15 pagg. 548-557, 560-561, 567-577, Cap. 16 pagg. 585-591; Cap. 17 pagg. 607-620; Cap. 18 pagg. 669-673, 677-678; Cap. 19 pagg. 731-737, Cap. 22; Cap. 23.).
-Stock JH,‎ Watson MW,
Introduzione all'econometria (2016). Pearson
(Cap. 4,5,6,7,12,17,18)

Methods of Provision

Conventional

Evaluation methods

Verification of learning:

The exam is written and oral. The written exam will consist of theoretical questions and empirical exercises. The exam will cover the entire program, with particular attention to the use of the R software. Students will also have to prepare and discuss a regression (linear or logistic) analysis, carried out with R, concerning a real case study (data sets can be found on internet).
This report must be sent to the Professor at least one week before the examination date. Further information can be found on the Professor's website: http://www.unich.it/~postigli/Home.html

Contacts/More Information

E-mail: postigli@unich.it
Professor's website: http://www.unich.it/~postigli/Home.html
In the first semester the Professor sees students only by appointment (postigli@unich.it). In the second semester, the office hours for students is scheduled for Wednesday from 2 pm to 4 pm, studio DEC 2 ° floor, Viale della Pineta, 4.

Other courses

Course year: 1

BUSINESS STATISTICS
6 Credits - Characterising
COST MANAGEMENT
9 Credits - Characterising
INDUSTRIAL ORGANIZATION
6 Credits - Characterising
INDUSTRY ANALYSIS
6 Credits - Characterising
BUSINESS TO BUSINESS MARKETING
9 Credits - Elective Course
ELECTIVE COURSE
9 Credits - Elective Course
FOOD SCIENCE AND TECHNOLOGY
9 Credits - Elective Course
HUMAN RESOURCE MANAGEMENT
9 Credits - Elective Course
INDUSTRIAL SYMBIOSIS
9 Credits - Elective Course
PROFESSIONAL AND FINANCIAL TECHNIQUE
9 Credits - Elective Course
PUBLIC ENVIRONMENTAL LAW
9 Credits - Elective Course
STRATEGIE, LEADERSHIP E RISORSE UMANE
9 Credits - Elective Course

Course year: 2

FINAL EXAMINATION
20 Credits - Language/Final Examination
SEMINARS
3 Credits
STAGE AND INTERNSHIPS
7 Credits - For stages and internships

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BUSINESS STATISTICS