The course aims at providing students with specific competences in sampling tecniques and statistical data analysis. Particular relevance is given to probability and inference, as the course means to provide students with the necessary tools for supporting decisional processes through the management of data bases and the use of statistical models.
Curriculum
Canali
teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Reference Bibliography
A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesAttendance
Classes are held in person. Students authorized by the University may attend classes via live streaming.Type of evaluation
The examination consists of solving three or four exercises designed to assess the student's level of preparation. These are numerical exercises, not proofs and not theoretical questions. The examination lasts two hours. During the course, two midterm assessments are scheduled for attending students. These assessments will be administered through the online learning platform on dates set by the instructor and communicated well in advance. Students who successfully pass both midterm assessments will be eligible to take a final examination, to be completed within the summer examination session, covering only the topics related to statistical inference.Canali
teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Reference Bibliography
A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesAttendance
Classes are held in person. Students authorized by the University may attend classes via live streaming.Type of evaluation
The examination consists of solving three or four exercises designed to assess the student's level of preparation. These are numerical exercises, not proofs and not theoretical questions. The examination lasts two hours. During the course, two midterm assessments are scheduled for attending students. These assessments will be administered through the online learning platform on dates set by the instructor and communicated well in advance. Students who successfully pass both midterm assessments will be eligible to take a final examination, to be completed within the summer examination session, covering only the topics related to statistical inference.Canali
teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Reference Bibliography
A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesAttendance
Classes are held in person. Students authorized by the University may attend classes via live streaming.Type of evaluation
The examination consists of solving three or four exercises designed to assess the student's level of preparation. These are numerical exercises, not proofs and not theoretical questions. The examination lasts two hours. During the course, two midterm assessments are scheduled for attending students. These assessments will be administered through the online learning platform on dates set by the instructor and communicated well in advance. Students who successfully pass both midterm assessments will be eligible to take a final examination, to be completed within the summer examination session, covering only the topics related to statistical inference.Canali
teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Reference Bibliography
A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesAttendance
Classes are held in person. Students authorized by the University may attend classes via live streaming.Type of evaluation
The examination consists of solving three or four exercises designed to assess the student's level of preparation. These are numerical exercises, not proofs and not theoretical questions. The examination lasts two hours. During the course, two midterm assessments are scheduled for attending students. These assessments will be administered through the online learning platform on dates set by the instructor and communicated well in advance. Students who successfully pass both midterm assessments will be eligible to take a final examination, to be completed within the summer examination session, covering only the topics related to statistical inference.Canali
teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Reference Bibliography
A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesAttendance
Classes are held in person. Students authorized by the University may attend classes via live streaming.Type of evaluation
The examination consists of solving three or four exercises designed to assess the student's level of preparation. These are numerical exercises, not proofs and not theoretical questions. The examination lasts two hours. During the course, two midterm assessments are scheduled for attending students. These assessments will be administered through the online learning platform on dates set by the instructor and communicated well in advance. Students who successfully pass both midterm assessments will be eligible to take a final examination, to be completed within the summer examination session, covering only the topics related to statistical inference.Canali
teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Reference Bibliography
A. Agresti, B. Finlay Statistical methods for the social sciences Pearson International Edition - 4th edition 2009Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesAttendance
Classes are held in person. Students authorized by the University may attend classes via live streaming.Type of evaluation
The examination consists of solving three or four exercises designed to assess the student's level of preparation. These are numerical exercises, not proofs and not theoretical questions. The examination lasts two hours. During the course, two midterm assessments are scheduled for attending students. These assessments will be administered through the online learning platform on dates set by the instructor and communicated well in advance. Students who successfully pass both midterm assessments will be eligible to take a final examination, to be completed within the summer examination session, covering only the topics related to statistical inference.