Marcella NIGLIO | Statistics
Marcella NIGLIO Statistics
cod. 0212400007
STATISTICS
| 0212400007 | |
| DIPARTIMENTO DI SCIENZE ECONOMICHE E STATISTICHE | |
| ECONOMICS | |
| 2015/2016 |
| OBBLIGATORIO | |
| YEAR OF COURSE 2 | |
| YEAR OF DIDACTIC SYSTEM 2014 | |
| PRIMO SEMESTRE |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| SECS-S/01 | 10 | 60 | LESSONS |
| 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 MANAGEMENT. MAKING JUDGEMENTS. THE METHODOLOGIES COVERED IN THIS COURSE ARE WIDELY APPLIED TO THE STUDY OF FIRM-LEVEL MICROECONOMIC PROBLEMS. 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 | |
|---|---|
| MATHEMATICS. |
| Contents | |
|---|---|
| PART I, DATA ANALYSIS: STATISTICAL SURVEY, FREQUENCY DISTRIBUTIONS FOR UNIVARIATE DATA, LOCATION MEASURES, SCALE MEASURES, SHAPE MEASURES (SYMMETRY AND KURTOSIS), DISTRIBUTIONS FOR BIVARIATE DATA. PART II, PROBABILITY: INTRODUCTION TO ELEMENTARY PROBABILITY THEORY, RANDOM VARIABLES (CONTINUOUS AND DISCRETE), BASIC PROBABILITY MODELS, ELEMENTARY INTRODUCTION TO LIMIT THEOREMS FOR SEQUENCE OF RANDOM VARIABLES. PART III. INFERENCE: PARAMETRIC ESTIMATION, INTRODUCTION TO ESTIMATION THEORY, POINT ESTIMATION, HYPOTHESIS TESTING, CONFIDENCE INTERVALS, LINEAR MODELS (ESTIMATION AND TESTING). |
| Teaching Methods | |
|---|---|
| CLASSES AND TUTORIALS. |
| Verification of learning | |
|---|---|
| WRITTEN AND ORAL EXAMINATION. |
| Texts | |
|---|---|
| CASELLA G. AND BERGER R.L., STATISTICAL INFERENCE, DUXBURY ADVANCED SERIES. |
| More Information | |
|---|---|
| TO DOWNLOAD A DETAILED PROGRAM OF THE TOPICS COVERED IN THE COURSE: HTTP://WWW.UNISA.IT/DOCENTI/FRANCESCOGIORDANO/STATISTICA |
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2016-09-30]
