Applied Statistics

The module aims to introduce to students the various properties of Applied Statistics in Food processing and Agriculture. 

In general, the course aims to reach the following end terms:

- knowledge of statistical data analysis techniques or skills,

- translating a research question into a statistical problem.

- solving the formulated problem using basic statistical methods. 

In particular these methods are related to the analysis of variance (ANOVA), confidence intervals test   and regression analysis,

- performing data analysis, interpret the results and translate the conclusion back to the context of the original research question.

Emphasis is put on the exercises, most of which will be done on computer with statistical software (Microsoft Excel or SPSS). 

The examples and exercises are selected based on case studies relevant to student work environment. 

In particular, examples are selected from food technology, agriculture and environmental sciences.