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 Course module: 202000556
 202000556Data Analysis I: Introduction to Inferential Statistics
 Course info Schedule
Course module202000556
Credits (ECTS)3
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. S.M. van den Berg
E-mailstephanie.vandenberg@utwente.nl
Lecturer(s)
 Examiner dr. S.M. van den Berg Contactperson for the course dr. S.M. van den Berg Examiner dr. R.W. Chan Lecturer A.C. Schleich
Starting block
 2A
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
 Aims
 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.
 Content
 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.
Assumed previous knowledge
 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
Previous knowledge can be gained by
 Knowledge: According to the ‘eindtermen Wiskunde A’, all students should have this knowledge*. Skills: High school, TOP module, or BOM module.
 Module
 Module 3
 Participating study
Required materials
Course material
 Study material is made available through Canvas.
Recommended materials
-
Instructional modes
Assessment
 Presence duty Yes

Lecture

Project supervised
 Presence duty Yes

Project unsupervised
 Presence duty Yes

Self study without assistance
 Presence duty Yes

Tutorial

Tests
 Data analysis I: descriptive statisticsRemark4 (sub)assignments and 1 written test (assignment 20%, test 80%)
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