applied statistics - web.uniroma1.it lezioni/slides... · applied statistics lecturer: cristina...

Basic information Blended lectures Books Exam Laboratory Premilinaries

Applied Statistics

Lecturer: Cristina Mollica (9CFU)


Basic information

Lecturer: Cristina MollicaContact:[email protected]: 4th floor(room 428, Dep. MEMOTEF)Office hour:

Monday, 14:30 - 15:30.Online assistance by e-mail,on Meet or Zoom.At the end of each class.

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

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


Basic information

The course will be mainly focused on

STATISTICAL MODELS

and their applications in economy and marketing.


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/5769273881Thursday 11:00 - 13:00 (Room Sergio Steve, 5th Floor), Link:https://uniroma1.zoom.us/j/5769273881

Please, on Monday take your laptop fully charged!

https://uniroma1.zoom.us/j/2955883721




Lectures

RECORDING CLASSES IS FORBIDDEN

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


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 mywebpage), but

use the books!


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 questionsconcerning theory and practical exercisesPart 2: practical part with the analysis of a dataset with the Rsoftware and discussion of the resulting output

The exam is the same for attending and non-attending students.


Bonus

Instructions:

Three homeworks will be assigned during the course.

The homeworks must be submitted individually to the lecturer bythe scheduled deadlines.

If the student passes all the 3 homeworks, a 3-points bonus will beadded to the mark of the exam.

Homeworks are not mandatory, but they represent an opportunity!


Laboratory

What will we do in lab???


Laboratory

We will introduce the statistical software

Useful tool for statisticsWe will apply theory in RR is an important aspect of this course


Laboratory

Laboratory basics:Download and install R (latest version 4.0.2):

http://www.r-project.org/

Download and install RStudiohttp://rstudio.org/

http://www.r-project.org/

http://rstudio.org/


Preliminaries

Some basic statistical tools you should know before starting thecourse:

Basic operations with sums and productsBasic algebraBasic probability theory

Download: Basics.pdf

Check your knowledge:Homework-0.pdf (do not

send it to me back)


Preliminaries

Course materials:SlidesR 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 lecturesand lab!


LET’S START!

applied statistics - web.uniroma1.it lezioni/slides... · applied statistics lecturer: cristina...

Documents