|Teaching method||Contact hours|
|Course coordinator(s)||dr. EJH Korendijk|
|Lecturer(s)||dr. EJH Korendijk|
|dr. SK Schnabel|
|Examiner(s)||dr. EJH Korendijk|
Language of instruction:
MAT-20306 Advanced Statistics; MAT-24306 Advanced Statistics for Nutritionist; MAT-22306; Quantitative Research Methodology and Statistics.
Note: This course can not be combined in an individual programme with MAT-15303 Statistics 1 and/or MAT-15403 Statistics 2.
- data collection, descriptive statistics, introduction probability theory;
- estimation, testing hypotheses, constructing confidence intervals;
- application to standard situations: one sample, two samples, one sample with paired observations, simple linear regression and correlation;
- using statistical software, in particular Rcommander;
- Ethical issues, as touching upon good statistical practice, will be discussed in class.
After successful completion of this course students are expected to be able to:
- comprehend the basic ideas of statistical inference and data collection;
- determine the appropriate statistical procedure, given the description of the experiment, the research question and the type of data;
- carry out the needed analyses for the discussed standard situations and interpret the results in terms of the problem;
- perform a hypothesis test for intercept or slope and check model assumptions of linear model;
- perform independently data analysis techniques with the computer package Rcommander.
The course consists of:
- studying a handbook;
- (mandatory) practical work using Rcommander.
- written exam;
- the computer practicals have to result in a pass;
- successful partial interim examinations remain valid for a period of 2 years.
R. Lyman Ott; Longnecker, M. T. (2010). An Introduction to Statistical Methods and Data Analysis. International edition ( 6th ed.) 1296 p.
Lecture Notes Basic Statistics. (available as pdf document on Brightspace).
|Restricted Optional for:||MES||Environmental Sciences||MSc||1MO|