NWI-BP012C
Statistics 1
Course infoSchedule
Course moduleNWI-BP012C
Credits (ECTS)3
Category01 (Introduction)
Language of instructionEnglish
Offered byRadboud University; Faculty of Science; BioWetenschappen;
Lecturer(s)
Coordinator
dr. P.H.M. Klaren
Other course modules lecturer
Lecturer
dr. P.H.M. Klaren
Other course modules lecturer
Contactperson for the course
dr. P.H.M. Klaren
Other course modules lecturer
Examiner
dr. P.H.M. Klaren
Other course modules lecturer
Academic year2020
Period
KW1  (31/08/2020 to 01/11/2020)
Starting block
KW1
Course mode
full-time
RemarksStudents who want to follow this course as part of a premaster or minor, contact the premaster/minor student advisor
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
This course aims to lay a foundation for the bachelor programme and beyond. The course will address topics such as data management, experiment design, null hypothesis significance testing and some common statistical procedures and tests, power analysis and sample size calculation.

We will use the free statistics software JASP.
Content
To do well on the final examination, you should be able to do the following:
  1. You can correctly describe common statistical jargon in your own words.
  2. Given an experimental design and dataset, you can choose a correct analytical procedure, establish an effect size, perform the analysis using the software JASP, and interpret and report the outcome.
  3. You can perform linear regression, and construct, characterize and use a calibration curve.
  4. You can calculate a sample size and perform a power analysis for a simple 2-sample experimental design.
Instructional Modes
  • Lectures
  • Tutorials.
  • Self-study
Level
Introductory.
Presumed foreknowledge
Highschool mathematics.
Test information
Written exam, where a bonus may be obtained from the tutorials.
Specifics

Required materials
Reader
Lecture notes ("Tackling data") containing background information and tutorial exercises will be made available. It is advised to print and bind a hardcopy for ease of use during lectures (note taking) and tutorials.
Costs:0.00

Instructional modes
Course occurrence

Tests
Exam
Test weight4
Test typeExam
OpportunitiesBlock KW1, Block KW2

Midterm exam
Test weight1
Test typeExam
OpportunitiesBlock KW1, Block KW2