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SOCIAL STATISTICS AND COMPUTER SCIENCE Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Objectives
Contents The course covers the main topics of descriptive statistics, together with the development of procedures for their implementation with non-specific software.
Extended Syllabus 1 The statistical data collection
• Tools for the collection of statistical data
• The Questionnaire
• The Qualitative Interview
2 The representation of statistical data
• Types of variables and Scales
• Statistical distributions
• Graphical representations
• Distributions and graphical representations with Excel
3 Measures of synthesis: the averages
• The synthesis of frequency distributions
• Synthesis for nominal, ordinal, cardinal and interval variables
• The measures of synthesis for nominal scales
• The measures of synthesis for ordinal scales
• The measures of synthesis for interval scales
• Calculation of the measures of synthesis with Excel
4 Measures of variability
• The statistical distance and its measures
• The concept of variability of a distribution
• The measures of variability for nominal scales
• The measures of variability for ordinal scales
• The measures of variability for interval scales
• The relative variability
• Calculation of the measures of variability with Excel
5 The Measures of the Relationships between Variables
• The representation of two statistical variables
• Characteristics values of the bivariate distribution
• Types of relationships between variables
• Percentage frequencies for the bivariate distribution
• Relationships between qualitative variables: the Chi-square
• Relationships between quantitative variables: the Regression
• Relationships between quantitative variables: the Correlation
• The bivariate distribution with Excel
• Chi-square, Regression and Correlation with Excel
Recommended Bibliography • Simone Di Zio, Antonio Pacinelli, STATISTICA SOCIALE, Mondadori Università, 2015
• Teaching materials available on the FAD platform
Methods of Provision
Teaching Methods Lectures in the classroom and computer exercises.
Evaluation methods Verification of learning:
The exam consists of a test on a computer, with various exercises aimed at verifying the mastery of statistical techniques and IT procedures to properly process a dataset and interpret the results obtained. Following, there will be an oral interview, which starts from the discussion of the test and will lead to a final single mark in thirtieths.
Contacts/More Information The teacher also receives students outside the scheduled hours, by appointment, by e-mail or telephone.