Sluiten Help Print
 Cursus: 202000556
 202000556Data Analysis I: Introduction to Inferential Statistics
 Cursus informatie Rooster
Cursus202000556
Studiepunten (ECTS)3
CursustypeOnderwijseenheid
VoertaalEngels
Contactpersoondr. S.M. van den Berg
E-mailstephanie.vandenberg@utwente.nl
Docenten
 Examinator dr. S.M. van den Berg Contactpersoon van de cursus dr. S.M. van den Berg Examinator dr. R.W. Chan Docent A.C. Schleich
Collegejaar2022
Aanvangsblok
 2A
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa
 Cursusdoelen
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } Upon completion of this course, students will be able to carry out simple and multiple regression analyses on a given data set using R software interpret all standard output of simple regression and multiple regression using R demonstrate the correct use the basic concepts of inference: confidence intervals, standard errors, t-tests and null hypothesis testing and p-values, and know the distinction between the sample data and the population that one wants to make inferences about.
 Inhoud
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } This study unit about data analysis teaches students how to investigate differences between groups and the relationship between variables. This part includes the principles of hypothesis testing, calculating and interpreting confidence intervals and describing and interpreting relationships between variables. This will be done using the R software package.
Voorkennis
 Knowledge: Basic understanding of probability and statistics; Basic level of understanding of algebra and calculus. Skills: Basic Excel skills: Entering formulas, using simple mathematical functions, copying formulas, errors in formulas, spreadsheet formatting, making graphs; Sufficient language skills in English
Voorkennis kan worden opgedaan met
 Knowledge: According to the ‘eindtermen Wiskunde A’, all students should have this knowledge*. Skills: High school, TOP module, or BOM module.
 Participating study
 Module
 Module 3
Verplicht materiaal
Course material
 Study material is made available through Canvas.
Aanbevolen materiaal
-
Werkvormen
Assessment
 Aanwezigheidsplicht Ja

Hoorcollege

Project begeleid
 Aanwezigheidsplicht Ja

Project onbegeleid
 Aanwezigheidsplicht Ja

Werkcollege

Zelfstudie geen begeleiding
 Aanwezigheidsplicht Ja

Toetsen
 Data analysis I: descriptive statisticsOpmerking4 (sub)assignments and 1 written test (assignment 20%, test 80%)
 Sluiten Help Print