MAT-14303 Basic Statistics
Vak
Studiepunten 3.00
Onderwijstype | Contacturen |
Practical intensively supervised | 12 |
Tutorial | 26 |
Self-study |
Course coordinator(s) | dr. EJH Korendijk |
Lecturer(s) | dr. EJH Korendijk |
dr. C Dobre | |
drs. LCP Keizer | |
Examiner(s) | ir. SLGE Burgers |
dr. EJH Korendijk |
Language of instruction:
English
Continuation courses:
MAT-20306 Advanced Statistics; MAT-24306 Advanced Statistics for Nutritionist; MAT-22306; Quantitative Research Methodology and Statistics.
Contents:
- 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 SPSS.
Learning outcomes:
After this course the student is 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 SPSS.
Activities:
The course consists of:
- class-work;
- studying a handbook;
- (mandatory) practical work using SPSS.
Examination:
- written exam;
- the computer practical's have to result in a pass;
- CAS: yes.
Literature:
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: WUR-shop).