|SCIENTIFIC DISCIPLINARY SECTOR||SECS-S/01|
This unit aims to provide fundamental notions of statistics and data analysis. The topics covered include graphical and numerical representations of quantitative and categorical variables
and basic principles of interpretation, modeling and statistical inference.
Frontal lectures in person (unless otherwise advised).
Definition of data, statistics, statistical unit, statistical variable, categorical variables, quantitative variables, distribution,
exploratory analysis, modalities of a categorical variable, absolute and percentual frequency, pie charts, bar charts, histograms, classes of a histogram, frequency density, analysis of a distribution: model, deviation, form, center, dispertion, outlier, symmetry of a distribution, time-series chart, trend;
arithmetic mean, robustness of a numerical representation, computing the arithmetic mean in particular cases, properties of the mean: (null deviations from the mean, linearity). Median, mode , quartiles , boxplots, definition and computation of variance, standard deviation, and their basic properties;
density curve, median, "mean", standard deviation in a density curve, normal distribution, "68-95-99.7" rule, standard normal distribution;
explanatory variable, response variable, scatterplot, interpretation of a scatterplot, categorical variables in a scatterplot, correlation index, property of correlation index;
building the least square regression line, limits and cautions for the use of the regression line;
contingency tables, marginal distributions, conditional marginal distribution, Simpson paradox.
- David S. Moore, "Statistica di Base", seconda edizione, ed. APOGEO.
Office hours: by appointment
GABRIELE MOSAICO (President)
All class schedules are posted on the EasyAcademy portal.
Written, multiple choice exam
The exam will verify the knowledge of the concepts and definitions listed in the syllabus