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STATISTICS

Maria Lucia PARRELLA STATISTICS

0212700010
DIPARTIMENTO DI SCIENZE AZIENDALI - MANAGEMENT & INNOVATION SYSTEMS
BUSINESS MANAGEMENT
2015/2016



OBBLIGATORIO
YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2014
PRIMO SEMESTRE
CFUHOURSACTIVITY
1060LESSONS
MARIA LUCIA PARRELLA T Curriculum
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 JUDGMENTS:
THE METHODS COVERED IN THIS COURSE ARE WIDELY APPLIED TO THE STUDY OF FIRM LEVEL 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
MATHEMATICS
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. INTRODUCTION TO PROBABILITY. PROBABILITY DISTRIBUTIONS FOR DISCRETE AND CONTINUOUS VARIABLES. DISCRETE PROBABILITY DISTRIBUTIONS: BINOMIAL, POISSON, HYPERGEOMETRIC. CONTINUOUS PROBABILITY DISTRIBUTIONS: NORMAL, T-STUDENT, EXPONENTIAL. DISTRIBUTIONS OF SAMPLE STATISTICS. POINT AND INTERVAL ESTIMATION. CONFIDENCE INTERVAL FOR A PROPORTION. CONFIDENCE INTERVAL FOR A MEAN. CONFIDENCE INTERVAL ESTIMATION FOR THE VARIANCE. CHOICE OF SAMPLE SIZE. CONCEPTS OF HYPOTHESIS TESTING. DECISIONS AND TYPES OF ERRORS IN TESTS. THE FIVE PARTS OF A SIGNIFICANCE TEST. SIGNIFICANCE TEST FOR A MEAN. SIGNIFICANCE TEST FOR A PROPORTION. TESTS OF THE VARIANCE OF A NORMAL DISTRIBUTION. LIMITATIONS OF SIGNIFICANCE TESTS. TWO POPULATION HYPOTHESIS TESTS. CATEGORICAL DATA: COMPARING TWO PROPORTIONS. QUANTITATIVE DATA: COMPARING TWO MEANS. COMPARING MEANS WITH DEPENDENT SAMPLES. LINEAR RELATIONSHIPS. LEAST SQUARES PREDICTION EQUATION. THE LINEAR REGRESSION MODEL. MEASURING THE LINEAR ASSOCIATION: THE CORRELATION. INFERENCES FOR THE SLOPE AND CORRELATION. MODEL ASSUMPTIONS AND VIOLATIONS.
Teaching Methods
THE COURSE IS ORGANIZED IN 60 HOURS OF LECTURES. LESSONS MAY INCLUDE AN APPLICATION PART, WITH REAL DATA EXAMPLES.
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
P. NEWBOLD, W.L. CARLSON, B. THORNE - STATISTICS FOR BUSINESS AND ECONOMICS - PEARSON EDUCATION (2013, 8TH ED)

ALTERNATIVE:
D. FREEDMAN, R. PISANI, R. PURVES - STATISTICS - W. W. NORTON & COMPANY (2007, 6TH EDITION)

More Information
FURTHER MATERIALS WILL BE AVAILABLE ON THE COURSE WEBPAGE.
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