Virtual Python environments are a great way to bundle a collection of libraries for a specific research task or project. We provide a brief guide on how to create virtual Python environments on our JupyterHub, and how to install toolboxes in these virtual environments.
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In this blog post, we present the procedure for a hypothesis test when two paired samples with continuous values are analysed. We give two possible tests and the necessary conditions for their application. We will check step by step which conditions are met and perform a hypothesis test using a sample data set.
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Gnu R is a free software widely used in the field of science that enables statistical analyses of collected data and the visualisation of analysis results. With RStudio, a comfortable and platform-independent graphical user interface for Gnu R is available. In the current post we give a short installation guide for …
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Binary logistic regression is used to model the relationship between a binary dependent variable (e.g. therapy successful? Yes/No) and a set of explanatory variables. As a result of the regression analysis, we identify explanatory variables that influence the binary dependent outcome variable. The binary logistic …
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Survival analysis involves statistical methods that compare time to a specific event between groups to estimate the effect of prognostic factors, such as medical treatment or harmful influences. The event can be the death of the patient. However, they can also be any other endpoints, such as healing or the occurrence …
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Using R Markdown documents, it is possible to apply the literate programming paradigm in scientific data analysis. For this, analysis code, links to data, results and explanatory text, which can also contain formulas and images, are combined in one document. In addition to the results, the logic and thought process …

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In the current post, we present the \(t\)-test as a parametric hypothesis test for normally distributed unpaired samples with equal variance. We state necessary conditions for the application of this test and we analyze an example data set.
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