INGLESE
English
Univariate and bivariate descriptive statistics. Most relevant inferential concepts (samples, statistics, estimators).
Univariate and bivariate descriptive statistics. Most relevant inferential concepts (samples, statistics, estimators).
The course will be taught through theoretical lessons and hands-on classes, during which the students analyse and synthesize a number of datasets focused on economic and business research. Computer-based analyses will be also performed in the PC-lab using the open-source software GRETL and R.
The course will be taught through theoretical lessons and hands-on classes, during which the students analyse and synthesize a number of datasets focused on economic and business research. Computer-based analyses will be also performed in the PC-lab using the open-source software GRETL and R.
1. Knowledge and Understanding: Students will acquire a good understanding of the statistical tools covered in the course as well as the ability to analyse economic and business datasets using appropriate statistical techniques.
2. Applying knowledge and understanding: the student must be able to study and to understand how to use statistical software for analysing datasets and preparing reports.
3. Judgement, focus and communication skills: The discussions as well as the practical applications that will take place during the course will enable students to enhance their autonomy and their analytical and communicative skills
1. Knowledge and Understanding: Students will acquire a good understanding of the statistical tools covered in the course as well as the ability to analyse economic and business datasets using appropriate statistical techniques.
2. Applying knowledge and understanding: the student must be able to study and to understand how to use statistical software for analysing datasets and preparing reports.
3. Judgement, focus and communication skills: The discussions as well as the practical applications that will take place during the course will enable students to enhance their autonomy and their analytical and communicative skills
PROGRAM
The program will be focused on:
- Inferential statistics: point estimators, confidence intervals, hypothesis testing, p-value
- Multivariate linear regression
- Factor analysis
- Cluster analysis
PROGRAM
The program will be focused on:
- Inferential statistics: point estimators, confidence intervals, hypothesis testing, p-value
- Multivariate linear regression
- Factor analysis
- Cluster analysis
Examination: Written exam concerning the methodological issues discussed during the course and a computer-based practical assignment based on the analysis of a real data set.
Class participation: Weekly computer-based exercises will be also performed in the PC-lab. Weekly home-works will be assigned.
1. Assessment criteria
Students will be evaluated in their knowledge and understanding of the most relevant statistical tools for business analysis as well as in their ability to apply them to empirical problems and settings.
2. Grading scale
Positive grades: from 18 to 30. Cum laude can be bestowed to outstanding performance.
3. Grading method
The final grade will be obtained as the sum of the written exam’s mark (marked up to 26/30) and of the practical assignment (marked up to 4/30).
Examination: Written exam concerning the methodological issues discussed during the course and a computer-based practical assignment based on the analysis of a real data set.
Class participation: Weekly computer-based exercises will be also performed in the PC-lab. Weekly home-works will be assigned.
1. Assessment criteria
Students will be evaluated in their knowledge and understanding of the most relevant statistical tools for business analysis as well as in their ability to apply them to empirical problems and settings.
2. Grading scale
Positive grades: from 18 to 30. Cum laude can be bestowed to outstanding performance.
3. Grading method
The final grade will be obtained as the sum of the written exam’s mark (marked up to 26/30) and of the practical assignment (marked up to 4/30).
Mandatory textbook:
- P. Newbold, W. Carlson, B. Thorne “Statistics for Business and Economics”, Prentice Hall (Chapters: 7-8-9)
- R.A. JOHNSON, D.W. WICHERN “Applied multivariate statistical analysis” Pearson International Edition (Chapters: 1, 2, 4, 7, 9, 11, 12)
- Additional material will be available in the e-learning web page
Mandatory textbook:
- P. Newbold, W. Carlson, B. Thorne “Statistics for Business and Economics”, Prentice Hall (Chapters: 7-8-9)
- R.A. JOHNSON, D.W. WICHERN “Applied multivariate statistical analysis” Pearson International Edition (Chapters: 1, 2, 4, 7, 9, 11, 12)
- Additional material will be available in the e-learning web page
Università Politecnica delle Marche
P.zza Roma 22, 60121 Ancona
Tel (+39) 071.220.1, Fax (+39) 071.220.2324
P.I. 00382520427