STATISTICS

Sociologia STATISTICS

0312300023
DIPARTIMENTO DI SCIENZE POLITICHE, SOCIALI E DELLA COMUNICAZIONE
SOCIOLOGY
2013/2014

OBBLIGATORIO
YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2011
SECONDO SEMESTRE
CFUHOURSACTIVITY
960LESSONS
Objectives
EXPECTED LEARNING RESULTS
THE COURSE AIMS TO PROVIDE THE BASIC QUANTITAIVE TOOLS THAT ALLOW TO DESCRIBE AND ANALYZE DATA FROM UNIVARIATE AND BIVARIATE CENSUS AND SAMPLE SURVEY.
AT THE END OF THE COURSE STUDENTS:

(KNOWLEDGE AND UNDERSTANDING)
- HAVE ACQUIRED KNOWLEDGE, WITH THE SUPPORT OF TEXT BOOKS, ABOUT THE FUNDAMENTAL ELEMENTS OF METHODS AND TECHNIQUES FOR THE ANALYSIS OF DATA AND FOR THE TREATMENT OF DATA FROM SAMPLE SURVEYS.

(ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING)
- HAVE ACQUIRED SKILLS AND OPERATIONAL PRACTICES RELATING TO THE COLLECTION, TREATMENT, MEASUREMENT AND INTERPRETATION OF SOCIAL PHENOMENA;
- HAVE ACQUIRED THE ABILITY TO PLAN, ORGANIZE AND MANAGE STATISTICAL DATABASE.

(JUDGEMENT)
- HAVE ACQUIRED THE ABILITY TO INTERPRET DATA AND INFORMATION.

(COMMUNICATION SKILLS)
-HAVE DEVELOPED THE LEARNING SKILLS NEEDED TO TAKE AUTONOMOUS STUDIES IN THE FIELD OF APPLIED SOCIAL RESEARCH.
Prerequisites
PASSING THE PROPEDEUTICS REQUIRED BY THEIR OWN CURRICULUM STUDY.
Contents
THE COURSE IS DIVIDED INTO 10 TEACHING UNITS, ORGANIZED IN 4 THEMATIC MODULES.

MODULE 1: DATA, FREQUENCY AND SUMMARY STATISTICS
2 TEACHING UNITS
DESCRIPTION OF COLLECTIVE PHENOMENA. POPULATION AND SAMPLE. SAMPLING DESIGN. THE STATISTICAL DATA. QUALITATIVE AND QUANTITATIVE VARIABLES. THE STATISTICAL TABLES. THE GRAPHICAL REPRESENTATIONS. THE FREQUENCY DISTRIBUTIONS. THE AVERAGE VALUES. THE VARIABILITY.

MODULE 2: ELEMENTS OF PROBABILITY
3 TEACHING UNITS
DEFINITION OF PROBABILISTIC MODEL. BERNOULLI MODEL. DEFINITION OF RANDOM VARIABLE. DISCRETE AND CONTINUE RANDOM VARIABLES. DEFINITION OF DENSITY FUNCTION. EXPECTED VALUE AND VARIANCE OF A RANDOM VARIABLE. BERNOULLI RANDOM VARIABLE AND NORMAL RANDOM VARIABLE. CENTRAL LIMIT THEOREM. DEFINITION OF STATISTICS. DISTRIBUTION OF A SAMPLE STATISTICS. MEDIA AND VARIANCE OF THE DISTRIBUTION OF MEDIA AND SAMPLE PROPORTION.

MODULE 3: ELEMENTS OF INFERENCE
3 TEACHING UNITS
POINT ESTIMATES AND CONFIDENCE INTERVAL FOR PROPORTION AND MEAN. TEST FOR MEAN AND PROPORTION. THE CHI-SQUARE TEST FOR INDEPENDENCE.

MODULE 4: ANALYSIS OF DEPENDENCE
2 TEACHING UNITS
BIVARIATE ANALYSIS FOR QUALITATIVE AND QUANTITATIVE DATA. CONTINGENCY TABLES. CHI-SQUARE ASSOCIATION TEST. LINEAR CORRELATION. SIMPLE LINEAR REGRESSION MODEL.
Teaching Methods
LECTURES
Verification of learning
INTERCOURSE LEARNING TESTS, NOT VALID FOR THE FINAL EXAM.
THE FINAL EXAM PROVIDES A WRITTEN TEST FOR THE ASSESSMENT OF PRACTICAL SKILLS AND AN ORAL TEST FOR DISCUSSION OF CRITICAL THEORY.
Texts
ALAN AGRESTI, BARBARA FINLAY, STATISTICA PER LE SCIENZE SOCIALI, PEARSON EDUCATION, 2009.
  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2016-09-30]