Vincenzo CANDILA | BUSINESS STATISTICS
Vincenzo CANDILA BUSINESS STATISTICS
cod. SE22200019
BUSINESS STATISTICS
SE22200019 | |
DEPARTMENT OF ECONOMICS AND STATISTICS | |
EQF7 | |
ECONOMY | |
2025/2026 |
OBBLIGATORIO | |
YEAR OF COURSE 1 | |
YEAR OF DIDACTIC SYSTEM 2025 | |
AUTUMN SEMESTER |
SSD | CFU | HOURS | ACTIVITY | |
---|---|---|---|---|
SECS-S/03 | 10 | 60 | LESSONS |
Objectives | |
---|---|
KNOWLEDGE AND UNDERSTANDING THE COURSE AIMS TO PROVIDE THE STUDENT WITH KNOWLEDGE OF THE MAIN METHODOLOGICAL AND APPLICATIVE TOOLS RELATED TO THE THEORY OF LINEAR MODELS AND MULTIVARIATE ANALYSIS TECHNIQUES. IN PARTICULAR, EMPHASIS IS PLACED ON THEIR USE AS A TOOL FOR ANALYZING RELATIONSHIPS AMONG ECONOMIC PHENOMENA. APPLYING KNOWLEDGE AND UNDERSTANDING DURING THE COURSE, CASE STUDIES WILL BE PROPOSED THAT WILL ALLOW THE STUDENT TO USE THE PROPOSED TOOLS IN ECONOMIC CONTEXTS. |
Prerequisites | |
---|---|
BASIC ELEMENTS OF MATHEMATICS AND STATISTICS. |
Contents | |
---|---|
MODULE I (30 HOURS): - REVIEW OF LINEAR REGRESSION WITH A SINGLE PREDICTOR. - MULTIPLE LINEAR REGRESSION. - HYPOTHESIS TESTING AND CONFIDENCE INTERVALS IN MULTIPLE LINEAR REGRESSION. - EXAMPLES USING R. MODULE II (30 HOURS): - THE SYSTEM OF SOURCES. DATA, METADATA, AND PARADATA. - THE CLASSIFICATION SYSTEM WITH A FOCUS ON ATECO. - THE PHASES OF A SURVEY: GENERIC STATISTICAL BUSINESS PROCESS MODEL. - DATA QUALITY AND NON-SAMPLING ERRORS: REAL CASES. - THE MAIN INDICATORS FOR ANALYZING THE ECONOMIC SYSTEM. - READING TIME SERIES. - REDUCTION OF COMPLEX PHENOMENA: SYNTHETIC INDICES, AN OVERVIEW. - THE MAIN DATABASES: PRESENTATION AND NAVIGATION. |
Teaching Methods | |
---|---|
THE COURSE CONSISTS OF 60 HOURS OF CLASSROOM TEACHING (WITHOUT MANDATORY ATTENDANCE) DIVIDED BETWEEN THEORETICAL LECTURES, EXERCISES, AND PC EXERCISES FOR THE R PART. |
Verification of learning | |
---|---|
THE STATISTICS FOR BUSINESS EXAM DOES NOT INCLUDE MID-TERM TESTS. THE STUDENT WILL BE EVALUATED THROUGH A WRITTEN EXAM, WHICH WILL TAKE PLACE ON THE DATES SCHEDULED BY THE DEPARTMENT. THE WRITTEN EXAM (90 OR 120 MINUTES) CONSISTS OF EXERCISES (OPEN-ENDED AND/OR MULTIPLE CHOICE) OF THE SAME TYPE AS THOSE SEEN DURING THE EXERCISES. IN ADDITION, THERE MAY BE EXERCISES THAT REQUIRE COMMENT/COMPLETION OF R OUTPUT. THERE WILL BE NO EXERCISES RELATED TO R CODE. EACH EXERCISE IS ASSIGNED A SCORE THAT VARIES DEPENDING ON THE COMPLEXITY OF THE CALCULATIONS REQUIRED AND WHICH IS COMMUNICATED TO THE STUDENT ON THE EXAM SHEET. THE MAXIMUM SCORE FOR THE WRITTEN EXAM IS 31 POINTS. DURING THE WRITTEN TEST, IT IS NOT ALLOWED TO CONSULT TEXTS OR USE PCS OR MOBILE PHONES. ONLY THE USE OF A CALCULATOR IS PERMITTED. THE FINAL GRADE IS DETERMINED BY THE SUM OF THE SCORES OBTAINED FOR EACH EXERCISE. FOR MODULE II, THE DRAFTING OF A REPORT IS REQUIRED USING THE ANALYSIS MODELS LEARNED IN THE FIRST PART OF THE COURSE, APPLIED TO OFFICIAL STATISTICS BY ADDRESSING REAL ISSUES IN ECONOMIC ANALYSIS THROUGH THE USE OF DATABASES. THE FINAL GRADE IS THE AVERAGE OF THE GRADES OBTAINED IN THE TWO MODULES. |
Texts | |
---|---|
FOR MODULE I: JAMES H. STOCK AND MARK W. WATSON (QUINTA EDIZIONE), INTRODUZIONE ALL’ECONOMETRIA, PEARSON ED. CHAPTERS 4, 5, 6, AND 7 FOR MODULE II: THE MATERIAL WILL BE PROVIDED BY THE LECTURER. |
More Information | |
---|---|
ATTENDANCE IN CLASS, BOTH FOR THE THEORETICAL PART AND THE EXERCISES, WHILE NOT MANDATORY, IS HIGHLY RECOMMENDED DUE TO THE CHARACTERISTICS OF THE SUBJECT. NON-ATTENDING STUDENTS MUST INDEPENDENTLY PREPARE THE PLANNED PROGRAM. |
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2025-09-25]