MAT-15403 Statistics 2
Course
Credits 3.00
Teaching method | Contact hours |
Practical intensively supervised | 12 |
Tutorial | 25 |
Self-study |
Language of instruction:
Dutch
Assumed knowledge on:
Active knowledge of statistics from high school (Dutch A-level math), or MAT-15303 Statistics 1.
Continuation courses:
MAT-20306 Advanced Statistics; MAT-22306 Quantitative Research Methodology and Statistics; MAT-24306 Advanced Statistics for Nutritionists.
Contents:
Building on an understanding of (simple) models, implications of model assumptions, interpretation of parameters; checking model assumptions; testing hypotheses for population means, for the 1-sample and 2-samples situations, for independent normal data (t-test); construction of a confidence interval for a population mean, or difference in means; simple linear regression and correlation, estimation, hypothesis testing and construction of a confidence interval for intercept, slope and predictions.
Learning outcomes:
After this course, the student is expected to be able to:
comprehend basic ideas of the discussed methods;
- determine the appropriate statistical procedure, given the description of the experiment, the research question and the type of data;
- apply a hypothesis test for a (difference of) population mean(s), intercept or slope (t-test);
- construct a confidence interval for a (difference of) population mean(s), intercept, slope and predictions;
- show understanding of the implications of model assumptions;
- apply checks for model assumptions.
Activities:
- tutorials that are motivated by practical problems from the Life Sciences, including making exercises;
- and (compulsory) computer practical's, analysing practical data with statistical software;
- prepare and hand in a brief report on a case study.
Examination:
- open book examination consisting of multiple choice questions.
- the computer practical (attendance compulsory) has to result in a pass.
- CAS: yes.
Literature:
R. Lyman Ott; Michael Longnecker. (2013). An introduction to statistical methods and data analysis. 6th ed. ISBN-13: 978-0-495-10914-3.
Lecture notes provide an introduction to tutorials, exercises, and a reading guide for the book and the computer practical's. Available: WUR-shop.
Programme | Phase | Specialization | Period | ||
---|---|---|---|---|---|
Compulsory for: | BBC | Management and Consumer Studies | BSc | 6MO | |
BBI | Biology | BSc | 3MO | ||
BBT | Biotechnology | BSc | 3MO | ||
BSW | Soil, Water, Atmosphere | BSc | 3AF | ||
BBN | Forest and Nature Conservation | BSc | 2MO | ||
BAS | Animal Sciences | BSc | 5MO | ||
BIN | International Development Studies | BSc | 5AF | ||
BLP | Landscape Architecture and Planning | BSc | 2AF | ||
BIL | International Land and Water Management | BSc | 2AF | ||
BFT | Food Technology | BSc | 1MO | ||
BES | Environmental Sciences | BSc | 4AF | ||
BPW | Plant Sciences | BSc | 2MO | ||
BAT | Biosystems Engineering | BSc | 3AF | ||
BVG | Nutrition and Health | BSc | 4AF | ||
BCL | Communication and Life Sciences | BSc | 5AF | ||
BGM | Health and Society | BSc | 5AF | ||
BEB | Economics and Governance | BSc | 1MO | ||
Restricted Optional for: | MFN | Forest and Nature Conservation | MSc | 2AF, 2MO |