SOURCES AND METHODS FOR THE ANALYSIS OF INTERNATIONAL DATA
EXPECTED LEARNING OUTCOMES
Knowledge and understanding
The students will become familiar with the International Official Statistics and their sources, and with the main concept of statistical data analysis.
Applying knowledge and understanding
The students will be able to extract data from the official statistics data sources, to manipulate them with excel, to compute basic statistics and estimate some basic statistical models.
Further expected learning outcomes:
Making judgements: Decide which is the best data source related to the problem and the most adequate statistical techniques for the analysis.
Communication skills: Students will present their results through a written report and an oral presentation.
Learning skills: They will be able to search for additional data sources and to understand more complex statistical methods.
Population and statistical unit. Statistical variables. Data Collection. Data sources. Official statistics sources and online databases: ISTAT, Eurostat, World Bank, UN, WHO, etc. Exploratory data analysis: representing and synthesizing a distribution. Graphical representations. Measures of location and their properties (mean, median, mode, etc). Measure of variability and their properties (variance, standard deviation, interquartile range, etc). Measures of skewness, the “Five Values” and the boxplot.. The concentration: Gini's index and Lorentz curve. The analysis of relationships between variables: covariance , correlation and simple regression. The Chi square test for independence. Basics of the Analysis of Variance.
Data manipulation and data analysis with Excel.
Business Statistics: A First Course, Global Edition (English) di DavidLevine , Szabat Kathryn, Pearson
Learning results to be verified:
Practical test with excel. Report on topics that requires statistical analysis of data coming from International Data Sources. Oral presentation and discussion of the report.
Written and oral examination