Statistics II
Faculteit | Campus Fryslân |
Jaar | 2021/22 |
Vakcode | CFB014A05 |
Vaknaam | Statistics II |
Niveau(s) | bachelor |
Voertaal | Engels |
Periode | semester I a |
ECTS | 5 |
Uitgebreide vaknaam | Statistics II | ||||||||
Leerdoelen | Upon the successful completion of this course, students will be able to: - Perform multivariate analysis on a variety of data-types and interpret the results - Understand relationships in data and assess multivariate statistical models - Apply advanced visualisation techniques to effectively communicate research results - Engage with online research communities |
||||||||
Omschrijving | Following on from Statistics I, this second course reviews the methods you learned at a slightly higher level, and adds a selection of more advanced techniques: multivariate analysis, non-linear models and system dynamics. You will learn to extend the univariate techniques with which Statistics I concluded, to include techniques of joint distributions and bivariate comparisons, allowing you to test more sophisticated claims about real world phenomena. You will explore to build models, interpret them, and assess more complicate situations. The course will allow you to make a critical assessment of the uses (and abuses!) of statistical analysis. You will cover the use of regression models when you have more than one predicting variable. You will see the effect of interactions and non-linear relationships between variables, review and extend your knowledge of R and learn more effective communication strategies. Just like the previous statistics course, you will continue to use R for your statistical analysis, while cultivating both a critical and transparent approach in your research. In addition, due to the increasing complexity in the models, you will be encouraged to practice self-regulating learners: intentional, independent, and self-directed, being able to engage with online communities (such as stack-exchange and r-bloggers) for support and suggestions for future analyses. Knowledge of flexible knowledge resources will further your abilities to explore more advanced techniques throughout their careers. |
||||||||
Uren per week | |||||||||
Onderwijsvorm | nog niet bekend | ||||||||
Toetsvorm | nog niet bekend | ||||||||
Vaksoort | bachelor | ||||||||
Coördinator | O. Engel, PhD. | ||||||||
Docent(en) | O. Engel, PhD. , Vijaya Kedari | ||||||||
Entreevoorwaarden | Skills Lab: Statistics I | ||||||||
Opmerkingen | |||||||||
Opgenomen in |
|