Scienze Politiche e delle Relazioni Internazionali | STATISTICS

cod. 1212100002

STATISTICS

	1212100002
	DEPARTMENT OF POLITICAL AND COMMUNICATION SCIENCES
	EQF6
	POLITICAL AND INTERNATIONAL RELATIONS SCIENCE
	2020/2021

CURRICULUM ECONOMICS AND DEVELOPMENT POLICIES

	OBBLIGATORIO
	YEAR OF COURSE 2
	YEAR OF DIDACTIC SYSTEM 2019
	PRIMO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	SECS-S/01	9	60	LESSONS	BASIC COMPULSORY SUBJECTS

	Objectives
	KNOWLEDGE AND UNDERSTANDING: -ACQUIRE THE MAIN TOOLS OF DESCRIPTIVE STATISTICS AND STATISTICAL INFERENCE -ACQUIRE MAIN TOOLS FOR BUSINESS ORIENTED DECISION MAKING -ACQUIRE KNOWLEDGE OF STATISTICAL MODELING WITH APPLICATIONS TO REAL DATASETS APPLYING KNOWLEDGE AND UNDERSTANDING: STUDENTS WILL BE EXPOSED TO CASE STUDIES TO UNDERSTAND THE ADVANTAGES GAINED FROM APPLYING STATISTICAL ANALYSIS TO QUANTITATIVE PROBLEMS ARISING FROM BUSINESS AND INTERNATIONAL MANAGEMENT. MAKING JUDGMENTS: THE METHODS COVERED IN THIS COURSE ARE WIDELY APPLIED TO THE STUDY OF INTERNATIONAL MICROECONOMIC PROBLEMS. STUDENTS WILL BE REQUIRED TO APPLY METHODS TO REAL DATA AND COMMUNICATE ON THE INTERPRETATION OF THE RESULTS. COMMUNICATION SKILLS: THE CLASSES WILL FOCUS ON THE PRESENTATION OF THE RESULTS OBTAINED APPLYING STATISTICAL METHODOLOGIES ON REAL DATASETS. THE EMPHASIS WILL BE PUT ON THE USE OF GRAPHICAL TOOLS AND SUMMARY STATISTICS AS RELEVANT INFORMATION DEVICE SUPPORTING THE DECISION MAKING PROCESS. LEARNING SKILLS: THE LECTURE WILL AIM TO STIMULATE THE STUDENT'S QUANTITATIVE INTELLECTUAL ABILITIES. STUDENTS WILL BE ASKED TO DEVELOP THOSE SKILLS NEEDED TO STUDY FURTHER QUANTITATIVE PROBLEMS WITH A HIGH LEVEL OF AUTONOMY.

KNOWLEDGE AND UNDERSTANDING:
-ACQUIRE THE MAIN TOOLS OF DESCRIPTIVE STATISTICS AND STATISTICAL INFERENCE
-ACQUIRE MAIN TOOLS FOR BUSINESS ORIENTED DECISION MAKING
-ACQUIRE KNOWLEDGE OF STATISTICAL MODELING WITH APPLICATIONS TO REAL DATASETS

APPLYING KNOWLEDGE AND UNDERSTANDING:
STUDENTS WILL BE EXPOSED TO CASE STUDIES TO UNDERSTAND THE ADVANTAGES GAINED FROM APPLYING STATISTICAL ANALYSIS TO QUANTITATIVE PROBLEMS ARISING FROM BUSINESS AND INTERNATIONAL MANAGEMENT.

MAKING JUDGMENTS:
THE METHODS COVERED IN THIS COURSE ARE WIDELY APPLIED TO THE STUDY OF INTERNATIONAL MICROECONOMIC PROBLEMS. STUDENTS WILL BE REQUIRED TO APPLY METHODS TO REAL DATA AND COMMUNICATE ON THE INTERPRETATION OF THE RESULTS.

COMMUNICATION SKILLS:
THE CLASSES WILL FOCUS ON THE PRESENTATION OF THE RESULTS OBTAINED APPLYING STATISTICAL METHODOLOGIES ON REAL DATASETS. THE EMPHASIS WILL BE PUT ON THE USE OF GRAPHICAL TOOLS AND SUMMARY STATISTICS AS RELEVANT INFORMATION DEVICE SUPPORTING THE DECISION MAKING PROCESS.

LEARNING SKILLS:
THE LECTURE WILL AIM TO STIMULATE THE STUDENT'S QUANTITATIVE INTELLECTUAL ABILITIES. STUDENTS WILL BE ASKED TO DEVELOP THOSE SKILLS NEEDED TO STUDY FURTHER QUANTITATIVE PROBLEMS WITH A HIGH LEVEL OF AUTONOMY.

	Prerequisites
	BASIC MATHEMATICAL KNOWLEDGE IS REQUIRED

	Contents
	INTRODUCTION TO STATISTICAL METHODOLOGY. DESCRIPTIVE STATISTICS AND INFERENTIAL STATISTICS. VARIABLES AND THEIR MEASUREMENT. RANDOMIZATION. SAMPLING VARIABILITY AND POTENTIAL BIAS. OTHER PROBABILITY SAMPLING METHODS. DESCRIBING DATA WITH TABLES AND GRAPHS. DESCRIBING THE CENTER OF THE DATA. DESCRIBING VARIABILITY OF THE DATA. MEASURES OF POSITION. BIVARIATE DESCRIPTIVE STATISTICS. SAMPLE STATISTICS AND POPULATION PARAMETERS. RELATIONSHIPS BETWEEN VARIABLES. CORRELATION. SIMPLE LINEAR REGRESSION. SIMPLE LINEAR REGRESSION. INTRODUCTION TO PROBABILITY. COMBINATORICS. PROBABILITY DISTRIBUTIONS FOR DISCRETE AND CONTINUOUS VARIABLES. DISCRETE PROBABILITY DISTRIBUTIONS: UNIFORM, BERNOULLI, BINOMIAL. CONTINUOUS PROBABILITY DISTRIBUTIONS: NORMAL, T-STUDENT, CHI-SQUARE. DISTRIBUTIONS OF SAMPLE STATISTICS. POINT AND INTERVAL ESTIMATION. CONFIDENCE INTERVAL FOR A MEAN AND FOR A PROPORTION. CHOICE OF SAMPLE SIZE. LOGIC OF HYPOTHESIS TESTING. DECISIONS AND TYPES OF ERRORS IN TESTS. SIGNIFICANCE TEST FOR A MEAN AND FOR A PROPORTION. LIMITATIONS OF SIGNIFICANCE TESTS. CHI-SQUARE TEST: GOODNESS OF FIT AND INDEPENDENCE BETWEEN VARIABLES. USE OF EXCEL TO ILLUSTRATE SOME CASE STUDIES

Contents

INTRODUCTION TO STATISTICAL METHODOLOGY. DESCRIPTIVE STATISTICS AND INFERENTIAL STATISTICS. VARIABLES AND THEIR MEASUREMENT. RANDOMIZATION. SAMPLING VARIABILITY AND POTENTIAL BIAS. OTHER PROBABILITY SAMPLING METHODS. DESCRIBING DATA WITH TABLES AND GRAPHS. DESCRIBING THE CENTER OF THE DATA. DESCRIBING VARIABILITY OF THE DATA. MEASURES OF POSITION. BIVARIATE DESCRIPTIVE STATISTICS. SAMPLE STATISTICS AND POPULATION PARAMETERS. RELATIONSHIPS BETWEEN VARIABLES. CORRELATION. SIMPLE LINEAR REGRESSION. SIMPLE LINEAR REGRESSION. INTRODUCTION TO PROBABILITY. COMBINATORICS. PROBABILITY DISTRIBUTIONS FOR DISCRETE AND CONTINUOUS VARIABLES. DISCRETE PROBABILITY DISTRIBUTIONS: UNIFORM, BERNOULLI, BINOMIAL. CONTINUOUS PROBABILITY DISTRIBUTIONS: NORMAL, T-STUDENT, CHI-SQUARE. DISTRIBUTIONS OF SAMPLE STATISTICS. POINT AND INTERVAL ESTIMATION. CONFIDENCE INTERVAL FOR A MEAN AND FOR A PROPORTION. CHOICE OF SAMPLE SIZE. LOGIC OF HYPOTHESIS TESTING. DECISIONS AND TYPES OF ERRORS IN TESTS. SIGNIFICANCE TEST FOR A MEAN AND FOR A PROPORTION. LIMITATIONS OF SIGNIFICANCE TESTS. CHI-SQUARE TEST: GOODNESS OF FIT AND INDEPENDENCE BETWEEN VARIABLES. USE OF EXCEL TO ILLUSTRATE SOME CASE STUDIES

	Teaching Methods
	THE COURSE CONSISTS OF 60 HOURS OF LECTURES. EACH LESSON IS STRUCTURED IN A THEORETICAL PART AND A PART OF APPLICATIONS IN CASE STUDIES.

	Verification of learning
	THE EVALUATION IS BASED ON A WRITTEN AND AN ORAL EXAMINATION. THE WRITTEN EXAM CONSISTS OF THEORY (40%) AND PRACTICAL NUMERICAL EXERCISES (60%). EACH OF THE TWO PARTS OF THE WRITTEN EXAM CONSISTS OF QUESTIONS WORTH 1-8 POINTS. THE EXAM IS PASSED WHEN THE STUDENT ACHIEVES AT LEAST 60% OF THE TOTAL SCORE. THE ORAL EXAMINATION IS AN IN-DEPTH DISCUSSION ABOUT THE TOPICS OF THE WRITTEN EXAMINATION.

	Texts
	M. SULLIVAN III. FONDAMENTI DI STATISTICA. PEARSON. P. NEWBOLD, W.L. CARLSON, B. THORNE - STATISTICS FOR BUSINESS AND ECONOMICS - PPEARSON EDUCATION ALTERNATIVE: S. BORRA, A. DI CIACCIO - STATISTICA. METODOLOGIA PER LE SCIENZE ECONOMICHE E SOCIALI - MCGRAW-HILL EDUCATION D. FREEDMAN, R. PISANI, R. PURVES - STATISTICS - W. W. NORTON & COMPANY (2007, 6TH EDITION)