2020_21
Educational guide 
Faculty of Chemistry
A A 
english 
Bachelor's Degree in Chemistry (2009)
 Subjects
  APPLIED STATISTICS
IDENTIFYING DATA 2020_21
Subject (*) APPLIED STATISTICS Code 13204007
Study programme
Bachelor's Degree in Chemistry (2009)
Cycle 1st
Descriptors Credits Type Year Period Exam timetables and dates
6 Basic Course First 1Q
Modality and teaching language See working groups
Prerequisites
Department Chemical Engineering
Coordinator
MATEO SANZ, JOSEP MARIA
E-mail josepmaria.mateo@urv.cat
ferran.borrell@urv.cat
roger.girbes@urv.cat
francisco.berto@urv.cat
greta.gaiani@urv.cat
masoud.norouzi@urv.cat
ankur.ruhela@urv.cat
Lecturers
MATEO SANZ, JOSEP MARIA
BORRELL MICOLA, FERRAN
GIRBES BALAGUE, ROGER
BERTO ROSELLÓ, FRANCISCO
GAIANI , GRETA
NOROUZI , MASOUD
RUHELA , ANKUR
Web
General description and relevant information

In this subject, the teaching of theory and problems will be mixed (face-to-face and online, simultaneously) with scheduled hours, that is, the students are split into two groups: one group attends the class in person (”oncampus students”) while the other group follows that class livestream (“online students”). The two groups alternate in-person and online teaching on indicated days.

The objectives of the subject are: Learning to efficiently collect and analyze data: description and interpretation of data, sampling, estimation, hypothesis testing, one-way and two-way analysis of variance, regression models.

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.