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10537-01 - Lecture: Statistics I: Basic concepts (5 CP)
| Semester | fall semester 2026 |
| Course frequency | Every fall sem. |
| Lecturers |
Sarah Holzer (sarah.holzer@unibas.ch)
Sarah Musy (sarah.musy@unibas.ch, Assessor) Michael Simon (m.simon@unibas.ch) |
| Content | Statistics is ubiquitous in medical and nursing research. Clinicians and nurse researchers need to understand basic statistical concepts, be able to interpret statistical results and conduct basic statistical analyses themselves. The course "Statistics I: Basic concepts" is the first part of a series of three courses to use the statistical programming language R to learn statistics. The course will provide students the basis to understand and apply basic statistical techniques in the context of nursing research. With the successful completion of the course students will be able to: 1. Understand basic concepts of statistics 2. Analyse quantitative data and apply fundamental statistical techniques 3. Understand basic statistical reporting in research papers 4. Apply principles of reproducible research |
| Learning objectives | - A three-hours session with a mix of lectures, seminars and exercises. - Introduction to fundamental concepts of statistics such as significance, p values, power or randomisation are explored with examples from health and nursing sciences. - Introduction to common statistical approaches such as parametric, non-parametric tests, correlation and regression. - Introduction to and application of principles of reproducible research. - Practical training in R programming and basic analytical techniques. |
| Bibliography | Fakultative Bücher: - Crawley, Michael J. Statistics. John Wiley & Sons, 2015. - Maindonald, John, and John Braun. Data analysis and graphics using R: an example- based approach. Cambridge University Press, 2010. We do not recommend any specific books at this stage, however if you like to have a book, the two mentioned above are good options. Weitere Kursliteratur zur Vorbereitung auf die Vorlesungen wird bei Bedarf auf ADAM bereitgestellt. Bitte eigenen Laptop mitnehmen. |
| Comments | Sessions will be made available through Panopto. Bitte eigenen Laptop mitnehmen! |
| Weblink | ADAM |
| Admission requirements | Aufnahme in den Studiengang Pflegewissenschaft PhD-Studierende der medizinischen Fakultät können nur nach Zustimmung der Kursleitung teilnehmen. Die Zustimmung muss im Vorfeld schriftlich eingeholt werden. |
| Course application | bitte in Services belegen |
| Language of instruction | English |
| Use of digital media | Online, mandatory |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Monday | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
Dates
| Date | Time | Room |
|---|---|---|
| Monday 14.09.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 21.09.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 28.09.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 05.10.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 12.10.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 19.10.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 26.10.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 02.11.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 09.11.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 16.11.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 23.11.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 30.11.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 07.12.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 14.12.2026 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 18.01.2027 | 09.15-12.00 | Bernoullistrasse 28, Seminarraum U01 |
| Monday 08.02.2027 | 09.15-12.00 | Bernoullistrasse 28, Seminarraum U01 |
| Modules |
Module Foundations of Quantitative and Qualitative Research (Master's Studies: Nursing) |
| Assessment format | record of achievement |
| Assessment details | Written exam (100%) Falls die Prüfung nicht bestanden ist, wird die Wiederholungsprüfung am Montag, 08.02.2027 von 9:30-12:00 Uhr stattfinden. Q&A für die Wiederholungsprüfung findet am 18.01.2027 von 09:15-12:00 Uhr statt. Termine zur vorgängigen Prüfungseinsicht bitte individuell mit dem Studiensekretariat vereinbaren. All students should participate in the group exercises in order to register for the exam. Further information will be given per course start. |
| Assessment registration/deregistration | Registration: course registration: deregistration: institute |
| Repeat examination | one repetition, best attempt counts |
| Scale | 1-6 0,5 |
| Repeated registration | one repetition |
| Responsible faculty | Faculty of Medicine |
| Offered by | Institut für Pflegewissenschaft |