Difference between revisions of "Statistics"
From Sustainability Methods
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== The statistics flowchart == | == The statistics flowchart == | ||
'''New to statistics?''' <br> | '''New to statistics?''' <br> | ||
| − | The following page allows for an interactive path to the method you need - just take your data and click through the diagrams step by step. '''[[An initial path towards statistical analysis]]''' | + | The following page allows for an interactive path to the method you need - just take your data and click through the diagrams step by step.<br> |
| + | '''[[An initial path towards statistical analysis]]''' | ||
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Revision as of 08:06, 26 May 2021
This page provides an overview on all entries that relate explicitly to statistical analyses. _NOTOC_
The statistics flowchart
New to statistics?
The following page allows for an interactive path to the method you need - just take your data and click through the diagrams step by step.
An initial path towards statistical analysis
Basic entries
These are some basic entries you might be interested in:
- ANOVA - a statistical method that allows to test differences of the mean values of groups within a sample.
- Introduction to statistical figures - an overview page for all kinds of data visualisation.
- Data formats - explains all different kinds of data types.
- Data distribution - what is a normal distribution, and how can you identify it?
- Correlations - correlations are a basic method in statistics, and you should know it.
- Experiments - an overview on the history and different kinds of experiments.
- Why statistics matters - why should you engage with statistics?
- Bias in statistics - statistics can be flawed, and we tell you why.
R Coding examples
The following list includes all Wiki entries that include R code examples: Category:R examples
Statistics entries
The following is a list of all Statistics entries: Category:Statistics
