Scienze Politiche e delle Relazioni Internazionali | STATISTICS

cod. 1212100002

STATISTICS

	1212100002
	DIPARTIMENTO DI SCIENZE POLITICHE, SOCIALI E DELLA COMUNICAZIONE

	POLITICAL AND INTERNATIONAL RELATIONS SCIENCE
	2014/2015

CURRICULUM ECONOMIA E POLITICHE PER LO SVILUPPO

	OBBLIGATORIO
	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2008
	PRIMO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	SECS-S/01	10	80	LESSONS	BASIC COMPULSORY SUBJECTS

	Objectives
	THE COURSE FOCUSES ON THE ANALYSIS OF THE STATISTICAL TOOLS USEFUL FOR THE QUANTITATIVE STUDY OF POLITICAL AND SOCIO-ECONOMIC REAL PHENOMENA. PARTICULAR EMPHASIS WILL BE GIVEN TO THOSE PROCEDURES USEFUL TO SUPPORT DECISIONS IN CONTEXTS WHERE LARGE AMOUNTS OF DATA, THEIR VARIABILITY AND UNCERTAINTY IMPLY A LEVEL OF COMPLEXITY UNMANAGEABLE USING OTHER TECHNIQUES. CONOSCENZE E CAPACITA’ DI COMPRENSIONE (KNOWLEDGE AND UNDERSTANDING) KNOWLEDGE OF STATISTICAL METHODS AND ITS APPLICATION TO THE ANALYSIS OF POLITICAL AND SOCIO-ECONOMIC PHENOMENA, FOR THE IMPROVEMENT OF RELATED DECISION MAKING PROCESSES. ABILITY TO ANALYZE AND INTERPRET QUANTITATIVE INFORMATION, AND TO PRODUCE INDICATORS AND REPORTS SUPPORTING THE DECISION MAKING PROCESS OF PUBLIC INSTITUTIONS (INCLUDING SUPRANATIONAL ORGANIZATIONS), NON-GOVERNMENTAL ORGANIZATIONS WORKING IN THE THIRD SECTOR AND PRIVATE COMPANIES. CAPACITA’ DI APPLICARE CONOSCENZA E COMPRENSIONE (APPLYING KNOWLEDGE AND UNDERSTANDING) ABILITY TO PRODUCE AND PROCESS QUANTITATIVE INFORMATION AND ABILITY TO USE APPROPRIATE STATISTICAL TOOLS FOR THE ANALYSIS AND SOLUTION OF PROBLEMS OF POLITICAL AND SOCIO-ECONOMIC TYPE. AUTONOMIA DI GIUDIZIO (MAKING JUDGMENTS) AT THE END OF THE COURSE, STUDENTS WILL BE ABLE TO: INDEPENDENTLY ANALYZE AND EVALUATE DOCUMENTS AND REPORTS THAT INCLUDE QUANTITATIVE INFORMATION; FORMULATE CRITICAL JUDGMENTS ON HOW TO COLLECT DATA AND HOW TO PROCESS THE INFORMATION COLLECTED; EVALUATE THE VALIDITY, INTERNAL AND EXTERNAL, OF THE CONCLUSIONS REACHED. ABILITA’ COMUNICATIVE (COMMUNICATIONS SKILLS) ABILITY TO PRESENT THE INFORMATION OF A QUANTITATIVE NATURE, EFFECTIVELY AND CLEARLY, BOTH IN ORAL AND WRITTEN FORM. CAPACITA’ DI APPRENDIMENTO (LEARNING SKILLS) THE COURSE WILL ENABLE STUDENTS TO ACQUIRE THE LOGICAL-CONCEPTUAL STRUCTURE NECESSARY FOR THE ANALYSIS AND PROCESSING OF QUANTITATIVE INFORMATION, WHILE PROVIDING THE ABILITY TO LINK THESE SKILLS WITH THOSE LEARNED IN SIMILAR STUDIES (ECONOMICS, SOCIOLOGY AND POLITICAL SCIENCE), EVEN IN COURSES OF MORE ADVANCED LEVEL.

THE COURSE FOCUSES ON THE ANALYSIS OF THE STATISTICAL TOOLS USEFUL FOR THE QUANTITATIVE STUDY OF POLITICAL AND SOCIO-ECONOMIC REAL PHENOMENA. PARTICULAR EMPHASIS WILL BE GIVEN TO THOSE PROCEDURES USEFUL TO SUPPORT DECISIONS IN CONTEXTS WHERE LARGE AMOUNTS OF DATA, THEIR VARIABILITY AND UNCERTAINTY IMPLY A LEVEL OF COMPLEXITY UNMANAGEABLE USING OTHER TECHNIQUES.

CONOSCENZE E CAPACITA’ DI COMPRENSIONE (KNOWLEDGE AND UNDERSTANDING)
KNOWLEDGE OF STATISTICAL METHODS AND ITS APPLICATION TO THE ANALYSIS OF POLITICAL AND SOCIO-ECONOMIC PHENOMENA, FOR THE IMPROVEMENT OF RELATED DECISION MAKING PROCESSES. ABILITY TO ANALYZE AND INTERPRET QUANTITATIVE INFORMATION, AND TO PRODUCE INDICATORS AND REPORTS SUPPORTING THE DECISION MAKING PROCESS OF PUBLIC INSTITUTIONS (INCLUDING SUPRANATIONAL ORGANIZATIONS), NON-GOVERNMENTAL ORGANIZATIONS WORKING IN THE THIRD SECTOR AND PRIVATE COMPANIES.

CAPACITA’ DI APPLICARE CONOSCENZA E COMPRENSIONE (APPLYING KNOWLEDGE AND UNDERSTANDING)
ABILITY TO PRODUCE AND PROCESS QUANTITATIVE INFORMATION AND ABILITY TO USE APPROPRIATE STATISTICAL TOOLS FOR THE ANALYSIS AND SOLUTION OF PROBLEMS OF POLITICAL AND SOCIO-ECONOMIC TYPE.

AUTONOMIA DI GIUDIZIO (MAKING JUDGMENTS)
AT THE END OF THE COURSE, STUDENTS WILL BE ABLE TO: INDEPENDENTLY ANALYZE AND EVALUATE DOCUMENTS AND REPORTS THAT INCLUDE QUANTITATIVE INFORMATION; FORMULATE CRITICAL JUDGMENTS ON HOW TO COLLECT DATA AND HOW TO PROCESS THE INFORMATION COLLECTED; EVALUATE THE VALIDITY, INTERNAL AND EXTERNAL, OF THE CONCLUSIONS REACHED.

ABILITA’ COMUNICATIVE (COMMUNICATIONS SKILLS)
ABILITY TO PRESENT THE INFORMATION OF A QUANTITATIVE NATURE, EFFECTIVELY AND CLEARLY, BOTH IN ORAL AND WRITTEN FORM.

CAPACITA’ DI APPRENDIMENTO (LEARNING SKILLS)
THE COURSE WILL ENABLE STUDENTS TO ACQUIRE THE LOGICAL-CONCEPTUAL STRUCTURE NECESSARY FOR THE ANALYSIS AND PROCESSING OF QUANTITATIVE INFORMATION, WHILE PROVIDING THE ABILITY TO LINK THESE SKILLS WITH THOSE LEARNED IN SIMILAR STUDIES (ECONOMICS, SOCIOLOGY AND POLITICAL SCIENCE), EVEN IN COURSES OF MORE ADVANCED LEVEL.

	Prerequisites
	IT IS REQUIRED A KNOWLEDGE OF THE BASIC PRINCIPLES OF ALGEBRA, AS PROVIDED BY THE PROGRAMS OF ALL TYPES OF UPPER SECONDARY SCHOOL.

	Contents
	OBJECTIVES AND METHODOLOGY OF STATISTICS. THE SISTAN AND OTHER SOURCES OF DATA. STATISTICAL SURVEYS. SAMPLING TECHNIQUES. SAMPLING ERRORS AND OTHER SOURCES OF BIAS. FREQUENCY DISTRIBUTIONS AND GRAPHICAL REPRESENTATIONS. ANALYSIS OF THE POSITION, THE VARIABILITY AND THE SHAPE OF A DISTRIBUTION. DATA TRANSFORMATIONS. OUTLIERS AND ROBUST STATISTICAL INDICATORS. THE BOX-PLOTS. PROBABILITY CONCEPTS. DISCRETE RANDOM VARIABLES. EXPECTED VALUES AND VARIANCE OF DISCRETE RANDOM VARIABLES. THE NORMAL DISTRIBUTION AND ITS PROPERTIES. THE CENTRAL LIMIT THEOREM. RANDOM VARIABLES DERIVED FROM NORMAL. INTRODUCTION TO STATISTICAL INFERENCE. STATISTICS AND PARAMETERS. RANDOM SAMPLES AND SAMPLING DISTRIBUTIONS. ESTIMATORS AND THEIR PROPERTIES. THE POINT ESTIMATE OF THE PARAMETERS OF A POPULATION. CONSTRUCTION OF CONFIDENCE INTERVALS. ESSENTIAL CHARACTERISTICS OF THE STATISTICAL HYPOTHESIS TESTING. TESTING THE PARAMETERS OF A NORMAL POPULATION. TESTING PROPORTIONS. TESTING THE COMPARISON BETWEEN TWO POPULATIONS. TESTING DEPENDENT POPULATIONS. THE COVARIANCE AND CORRELATION AND ITS PROPERTIES. ESTIMATING AND TESTING THE CORRELATION COEFFICIENT. LINEAR REGRESSION. OUTLIERS IN REGRESSION. PREDICTIONS USING THE REGRESSION MODEL.

Contents

OBJECTIVES AND METHODOLOGY OF STATISTICS. THE SISTAN AND OTHER SOURCES OF DATA. STATISTICAL SURVEYS. SAMPLING TECHNIQUES. SAMPLING ERRORS AND OTHER SOURCES OF BIAS. FREQUENCY DISTRIBUTIONS AND GRAPHICAL REPRESENTATIONS. ANALYSIS OF THE POSITION, THE VARIABILITY AND THE SHAPE OF A DISTRIBUTION. DATA TRANSFORMATIONS. OUTLIERS AND ROBUST STATISTICAL INDICATORS. THE BOX-PLOTS. PROBABILITY CONCEPTS. DISCRETE RANDOM VARIABLES. EXPECTED VALUES AND VARIANCE OF DISCRETE RANDOM VARIABLES. THE NORMAL DISTRIBUTION AND ITS PROPERTIES. THE CENTRAL LIMIT THEOREM. RANDOM VARIABLES DERIVED FROM NORMAL.

INTRODUCTION TO STATISTICAL INFERENCE. STATISTICS AND PARAMETERS. RANDOM SAMPLES AND SAMPLING DISTRIBUTIONS. ESTIMATORS AND THEIR PROPERTIES. THE POINT ESTIMATE OF THE PARAMETERS OF A POPULATION. CONSTRUCTION OF CONFIDENCE INTERVALS. ESSENTIAL CHARACTERISTICS OF THE STATISTICAL HYPOTHESIS TESTING. TESTING THE PARAMETERS OF A NORMAL POPULATION. TESTING PROPORTIONS. TESTING THE COMPARISON BETWEEN TWO POPULATIONS. TESTING DEPENDENT POPULATIONS. THE COVARIANCE AND CORRELATION AND ITS PROPERTIES. ESTIMATING AND TESTING THE CORRELATION COEFFICIENT. LINEAR REGRESSION. OUTLIERS IN REGRESSION. PREDICTIONS USING THE REGRESSION MODEL.

	Teaching Methods
	THE COURSE CONSISTS OF 80 HOURS DIVIDED INTO 60 HOURS OF LECTURES AND 20 HOURS OF SUPPLEMENTS AND EXERCISES.

	Verification of learning
	THE EXAMINATION IS WRITTEN AND ORAL AND COVERS THE MATERIAL OF THE COURSE. THE EVALUATION OF THE EXAMINATION RESULTS WILL TAKE INTO ACCOUNT THE ARGUMENTATION CAPACITY, THE ACCURACY OF LANGUAGE AND THE ABILITY TO MAKE CRITICAL USE OF THE ACQUIRED STATISTICAL TOOLS, AS WELL AS KNOWLEDGE OF THE SUBJECT MATTER.

	Texts
	ALAN AGRESTI & BARBARA FINLAY, METODI STATISTICI DI BASE E AVANZATI PER LE SCIENZE SOCIALI, PEARSON OR, ALTERNATIVELY, ONE OF THE FOLLOWING TEXTBOOKS: 1. COSIMO DAMIANO VITALE, INTRODUZIONE ALLA STATISTICA PER LE APPLICAZIONI ECONOMICHE (VOLUMI 1 E 2). ESI 2. DOMENICO PICCOLO, STATISTICA PER LE DECISIONI, IL MULINO.

	More Information
	GIVEN THE CHARACTERISTICS OF THE DISCIPLINE, AND ITS THEORETICAL AND PRACTICAL APPROACH, THE ATTENDANCE IS STRONGLY RECOMMENDED, ALTHOUGH NOT MANDATORY. STUDENTS WHO DECIDE NOT TO ATTEND CLASSES ARE ADVISED TO FOLLOW THE SYLLABUS AND THE SCHEDULED TOPICS AND PROPERLY STUDY THE PROPOSED MATERIAL.

BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2016-09-30]