ecology learning
VEC

Course description

Description

Requests --> EMAIL Tools, Examples and Documentation --> DOWNLOAD

Script      -->  Kindle Ebook /  Paperback

Unit

 Content


1

Basic Knowledge: 
Concepts/ conceptual models of ecological research and experiments 
Basic procedures
organize your working environment: WWW

2 Organize data acquisition: 
Analysis of experimental approach, consolidation of data to tables  
Spreadsheet Calc/Excel: Basalia
Prepare for Diagrams and Statistics

3

Data Assessment, Planing: 
Necessary amount of replicates according to research questions / hypothese. Definition of statistical aims, Assessment of possible answers, first diagrams employing MS-Excel /LibreOffice Calc 
Median and Average, available options of expressing variability

4

 Univariate Data Analysis: 
Levels of Significance, significant versus/and substantial differences derived from research questions initially asked / the field of research
critical t- values link1 & link2


5 Methods of data evaluaton: 
Putting together of data tables  from students  experiments suited for statistics programmes, detailed analysis / table of ANOVA results using Statgraphics 18 and MS-Excel /Calc using example datasets


6

 Data Evaluation employing Statgraphics 18: 
Exploratory PCA and its preparation,  Linear Correlation and nonlinear relations, significant and substantial relations, trend curves/graphs in Excel, correlation matrices and graphs using Stagraphics and Excel, Ordination


7

 Multivariate calculations and Tests
Principal Components in Statgraphics, Biplots in Simca-P und Statgraphics, Metavariables, Clusters


8

 Integration of results: 
Devising conceptual models in Excel, MS-Powerpoint /Impress, Discussion of statistical findings in clear language, coming up with concrete  conclusions and defining gaps of knowlege / recommending future research aims


weiterführende Literature
 Wikipedia: Kategory Statistics
Manager(s) for 3001931WS19 : Gert Bachmann
Administrator for ecology learning : mosys elearnfix
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