Being able to produce, interpret and communicate data in a social science framework. Being able to able appropriately with data variability and uncertainty.
Curriculum
Canali
teacher profile teaching materials
Programme
Data visualization and summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis tests. Group comparison. Regression models. Theoretical topics will be integrated with labs, using the R statistical platform.Core Documentation
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838Reference Bibliography
Freedman, Pisani, Purves, Statistics. Norton and Company: New York Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalType of delivery of the course
The course includes lectures and labs. In the case of perduration of the COVID-19 pandemics, the course will comply with special regulations. Further details can be found on the moodle platform of the course.Attendance
Attendance is highly recommended but not mandatory.Type of evaluation
The exam is written and must be completed within two hours. It requires the solution of numerical exercises and the answers to theoretical questions, related to the topics of the syllabus. During the exam, students are not allowed to read textbooks, use PCs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. In the case of perduration of the COVID-19 pandemics, the course will comply with special regulations. A 1-hour exam will be administred through the moodle platform of the course. Those who pass this exam can participate in a supplementary oral examination. Further details can be found on the moodle platform of the course (scienzepolitiche.el.uniroma3.it). teacher profile teaching materials
Programme
Data visualization and summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis testing. Group comparison. Regression models. Theoretical topics will be integrated with labs, using R statistical software.Core Documentation
Freedman, Pisani, Purves, Statistics. Norton and Company: New YorkReference Bibliography
Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalType of delivery of the course
The course includes lectures and exercises.Attendance
Attendance is not necessary but strongly recommended.Type of evaluation
The exam includes a written test of length approximately equal to 120 minutes. the written test requires 1) the solution of numerical exercises related to the main topics covered during the course 2) answering to theoretical questions on the topics included in the course programme. During the written test students are not allowed to read textbooks, use pcs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. teacher profile teaching materials
Programme
Data visualizationand summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis testing. Group comparison. Regression models. Theoretical topics will be integrated with labs, using R statistical software.Core Documentation
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838Reference Bibliography
Freedman, Pisani, Purves, Statistics. Norton and Company: New York Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalAttendance
The course includes lectures and labs. Attendance is not mandatory, but highly encouraged.Type of evaluation
The exam is written and must be completed within two hours. It requires the solution of numerical exercises and the answers to theoretical questions, related to the topics of the syllabus. During the exam, students are not allowed to read textbooks, use PCs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. Students who pass this exam are eligible for an additional oral exam. More details on the moodle platform of the course.Canali
teacher profile teaching materials
Programme
Data visualization and summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis tests. Group comparison. Regression models. Theoretical topics will be integrated with labs, using the R statistical platform.Core Documentation
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838Reference Bibliography
Freedman, Pisani, Purves, Statistics. Norton and Company: New York Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalType of delivery of the course
The course includes lectures and labs. In the case of perduration of the COVID-19 pandemics, the course will comply with special regulations. Further details can be found on the moodle platform of the course.Attendance
Attendance is highly recommended but not mandatory.Type of evaluation
The exam is written and must be completed within two hours. It requires the solution of numerical exercises and the answers to theoretical questions, related to the topics of the syllabus. During the exam, students are not allowed to read textbooks, use PCs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. In the case of perduration of the COVID-19 pandemics, the course will comply with special regulations. A 1-hour exam will be administred through the moodle platform of the course. Those who pass this exam can participate in a supplementary oral examination. Further details can be found on the moodle platform of the course (scienzepolitiche.el.uniroma3.it). teacher profile teaching materials
Programme
Data visualization and summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis testing. Group comparison. Regression models. Theoretical topics will be integrated with labs, using R statistical software.Core Documentation
Freedman, Pisani, Purves, Statistics. Norton and Company: New YorkReference Bibliography
Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalType of delivery of the course
The course includes lectures and exercises.Attendance
Attendance is not necessary but strongly recommended.Type of evaluation
The exam includes a written test of length approximately equal to 120 minutes. the written test requires 1) the solution of numerical exercises related to the main topics covered during the course 2) answering to theoretical questions on the topics included in the course programme. During the written test students are not allowed to read textbooks, use pcs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. teacher profile teaching materials
Programme
Data visualizationand summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis testing. Group comparison. Regression models. Theoretical topics will be integrated with labs, using R statistical software.Core Documentation
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838Reference Bibliography
Freedman, Pisani, Purves, Statistics. Norton and Company: New York Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalAttendance
The course includes lectures and labs. Attendance is not mandatory, but highly encouraged.Type of evaluation
The exam is written and must be completed within two hours. It requires the solution of numerical exercises and the answers to theoretical questions, related to the topics of the syllabus. During the exam, students are not allowed to read textbooks, use PCs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. Students who pass this exam are eligible for an additional oral exam. More details on the moodle platform of the course.Canali
teacher profile teaching materials
Programme
Data visualization and summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis tests. Group comparison. Regression models. Theoretical topics will be integrated with labs, using the R statistical platform.Core Documentation
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838Reference Bibliography
Freedman, Pisani, Purves, Statistics. Norton and Company: New York Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalType of delivery of the course
The course includes lectures and labs. In the case of perduration of the COVID-19 pandemics, the course will comply with special regulations. Further details can be found on the moodle platform of the course.Attendance
Attendance is highly recommended but not mandatory.Type of evaluation
The exam is written and must be completed within two hours. It requires the solution of numerical exercises and the answers to theoretical questions, related to the topics of the syllabus. During the exam, students are not allowed to read textbooks, use PCs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. In the case of perduration of the COVID-19 pandemics, the course will comply with special regulations. A 1-hour exam will be administred through the moodle platform of the course. Those who pass this exam can participate in a supplementary oral examination. Further details can be found on the moodle platform of the course (scienzepolitiche.el.uniroma3.it). teacher profile teaching materials
Programme
Data visualization and summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis testing. Group comparison. Regression models. Theoretical topics will be integrated with labs, using R statistical software.Core Documentation
Freedman, Pisani, Purves, Statistics. Norton and Company: New YorkReference Bibliography
Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalType of delivery of the course
The course includes lectures and exercises.Attendance
Attendance is not necessary but strongly recommended.Type of evaluation
The exam includes a written test of length approximately equal to 120 minutes. the written test requires 1) the solution of numerical exercises related to the main topics covered during the course 2) answering to theoretical questions on the topics included in the course programme. During the written test students are not allowed to read textbooks, use pcs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. teacher profile teaching materials
Programme
Data visualizationand summaries. Association, correlation and regression. Probability distributions. Sampling distributions. Statistical inference: confidence intervals and hypothesis testing. Group comparison. Regression models. Theoretical topics will be integrated with labs, using R statistical software.Core Documentation
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838Reference Bibliography
Freedman, Pisani, Purves, Statistics. Norton and Company: New York Sally Caldwell, Statistics. Wadsworth: Belmont CA Tom Baguley, Serious Stats, MacMillan InternationalAttendance
The course includes lectures and labs. Attendance is not mandatory, but highly encouraged.Type of evaluation
The exam is written and must be completed within two hours. It requires the solution of numerical exercises and the answers to theoretical questions, related to the topics of the syllabus. During the exam, students are not allowed to read textbooks, use PCs, tablets and mobile phones; they are only allowed to use a basic electronic calculator and the usual statistical tables. Students who pass this exam are eligible for an additional oral exam. More details on the moodle platform of the course.