Applied Statistics Lecturer: Cristina Mollica (9CFU) Basic - - PowerPoint PPT Presentation

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Applied Statistics Lecturer: Cristina Mollica (9CFU) Basic - - PowerPoint PPT Presentation

Basic information Blended lectures Books Exam Laboratory Premilinaries Applied Statistics Lecturer: Cristina Mollica (9CFU) Basic information Blended lectures Books Exam Laboratory Premilinaries Basic information Lecturer: Cristina


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Basic information Blended lectures Books Exam Laboratory Premilinaries

Applied Statistics

Lecturer: Cristina Mollica (9CFU)

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Basic information Blended lectures Books Exam Laboratory Premilinaries

Basic information

Lecturer: Cristina Mollica Contact: cristina.mollica@uniroma1.it Office: 4th floor (room 428, Dep. MEMOTEF) Office hour:

Monday, 14:30 - 15:30. Online assistance by e-mail,

  • n Meet or Zoom.

At the end of each class.

Personal web-page: https://web.uniroma1.it/memotef/users/mollica-cristina

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Basic information

The course will be mainly focused on STATISTICAL MODELS and their applications in economy and marketing.

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Timetable and links on Zoom

Monday 16:00 - 18:00 (Room Marrama, 6th Floor), Link: https://uniroma1.zoom.us/j/2955883721 Wednesday 11:00 - 13:00 (Room Sergio Steve, 5th Floor), Link: https://uniroma1.zoom.us/j/5769273881 Thursday 11:00 - 13:00 (Room Sergio Steve, 5th Floor), Link: https://uniroma1.zoom.us/j/5769273881

Please, on Monday take your laptop fully charged!

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Lectures

RECORDING CLASSES IS FORBIDDEN

Sapienza University will legally prosecute people who are responsible for the dissemination of recorded classes on the web.

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Basic information

Suggested textbooks (both available at the library):

1 A Guide to model econometrics, M. Verbeek, Wiley. 2 Statistical Models, A.C. Davison, Cambridge University Press.

I will use slides only to summarize basic concepts (available on my webpage), but

use the books!

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The exam

... the most important part of the course ... (for students!)

The exam is composed of two parts (to be taken in the same day): Part 1: written part with multiple choice and open questions concerning theory and practical exercises Part 2: practical part with the analysis of a dataset with the R software and discussion of the resulting output The exam is the same for attending and non-attending students.

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Bonus

Instructions: Three homeworks will be assigned during the course. The homeworks must be submitted individually to the lecturer by the scheduled deadlines. If the student passes all the 3 homeworks, a 3-points bonus will be added to the mark of the exam. Homeworks are not mandatory, but they represent an opportunity!

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Laboratory

What will we do in lab???

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Laboratory

We will introduce the statistical software Useful tool for statistics We will apply theory in R R is an important aspect of this course

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Laboratory

Laboratory basics: Download and install R (latest version 4.0.2): http://www.r-project.org/ Download and install RStudio http://rstudio.org/

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Preliminaries

Some basic statistical tools you should know before starting the course: Basic operations with sums and products Basic algebra Basic probability theory Download: Basics.pdf Check your knowledge: Homework-0.pdf (do not send it to me back)

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Preliminaries

Course materials: Slides R material (codes, data and manuals) Homeworks (please, respect the deadlines!) will be available on my webpage. Please, check it on Monday and download the material for lectures and lab!

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LET’S START!