Environmental data processing

Part 1: Univariate and bivariate statistics in the environment

The course deepens the statistical knowledge needed in environmental science.
It presents bivariate descriptive statistics, linear regression and some hypotheses tests (2-sample t-test, F-test, ANOVA test, chi-squared test). 
The course will focus on the understanding of the statistical process, the ciritical interpretation of statistical results, and the application of the studied statistical methods. The students will also learn how to use the statistical software R.
 
 
 
 

Part 3: Statistical arguments

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Part 1: Univariate and bivariate statistics in the environment

The course aims at providing the students with the necessary tools to

• Understand and use bivariate statistical tools and linear regression.
• Understand statistical results in their context. Be able to read, in a critical way, numerical or graphical statistical results (linked to the methods seen in the course).
• Understand the challenges, benefits and limitations of statistical studies.
• Having the necessary vocabulary/background to be able to interact with a statistician in the context of an environmental problem.
• Be able to use the statistical software R and interpret its output.

Part 3: Statistical arguments

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Part 1: Univariate and bivariate statistics in the environment

Notions of mathematics.
Basics of statistics: probability, descriptive (univariate) statistics, confidence intervals, hypothesis testing (Z-test and one-sample t-test).
 
 
 
 
 

Part 1: Univariate and bivariate statistics in the environment

Lectures and exercices (written and computer-based)
 

Part 3: Statistical arguments

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Part 1: Univariate and bivariate statistics in the environment

Face-to-face course


Additional information:

Both the theory classes and the exercices will be given face-to-face at the campus in Arlon.
 

Part 3: Statistical arguments

Blended learning

Part 1: Univariate and bivariate statistics in the environment

The course slides and exercises will be made available through eCampus.
 

Part 3: Statistical arguments

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Part 1: Univariate and bivariate statistics in the environment

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )


Additional information:

The assessment focuses on the correct use and understanding of the statistical methods, the interpretation of the results as well as the use of the statistical software R. The exam consists of 2 parts:

• a written examination, consisting of multiple choice questions (understanding of theory, short exercises) and open questions (long exercises, interpretation of results),
• a practical examination (statistical analyses in R).

Part 3: Statistical arguments

Written work / report


Additional information:

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Part 1: Univariate and bivariate statistics in the environment

See the podcasts available in the course ENVT0048-2 to freshen up the basics of statistics
 
 

Part 1: Univariate and bivariate statistics in the environment

Professor: Arnout Van Messem
Assistant: Jimmy Keydener
 

Part 3: Statistical arguments

N.Semal@uliege.be