| STATISTICS
(objectives)
Being able to produce, interpret and communicate data in a social science framework. Being able to able appropriately with data variability and uncertainty.
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Code
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21801562 |
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Language
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ITA |
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Type of certificate
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Profit certificate
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Credits
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9
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Scientific Disciplinary Sector Code
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SECS-S/01
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Contact Hours
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54
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Type of Activity
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Basic compulsory activities
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Group: A - D
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Derived from
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21801562 STATISTICS in Political science L-36 A - D LAGONA FRANCESCO
(syllabus)
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.
(reference books)
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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not mandatory
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Evaluation methods
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Written test
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Group: E - M
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Derived from
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21801562 STATISTICS in Political science L-36 E - M CUCINA DOMENICO
(syllabus)
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.
(reference books)
Freedman, Pisani, Purves, Statistics. Norton and Company: New York
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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not mandatory
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Evaluation methods
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Written test
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Group: N - Z
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Derived from
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21801562 STATISTICS in Political science L-36 N - Z MINGIONE MARCO
(syllabus)
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.
(reference books)
Alan Agresti, Christine A. Franklin and Bernhard Klingenberg (2017) Statistics: The Art and Science of Learning from Data (4th Edition) ISBN 978-0321997838
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Dates of beginning and end of teaching activities
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From to |
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Attendance
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not mandatory
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Evaluation methods
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Written test
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Università Roma Tre