Streuspanne – Our blog on statistics and Jurojin

Our colleague Sascha Feth presents exciting news, fun facts and interesting background knowledge about statistics and our tool Jurojin in his blog. With this software from our "Dynamics, Loads and Environmental Data" department, fatigue tests can be planned and statistically evaluated.

 

About the author:

Sascha Feth has been at our Fraunhofer Institute since 2005 and already dealt with mathematical statistics during his doctorate. For many years he has been a lecturer in our seminars, giving interested people an understanding of vehicle development statistics. The questions he answers there are one of the inspirations for the topics of this blog.

His mission:
»I would like to give engineers an intuitive access to statistics without requiring basic mathematical knowledge. To achieve this, we look at various topics from unusual perspectives.«

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  • Statistical Quality Control Rejects Conspiracy Theories

    Streuspanne – Our Blog on Statistics and Jurojin / May 15, 2020

    Covid-19 Verschwörungstheorien
    © iStockphoto

    Recently, we looked at the extent to which incomplete infection figures in the Corona pandemic can be compared with warranty data for vehicle components. Today, we use statistical quality control to reject some conspiracy theories surrounding Covid-19.

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  • Extension to the Question: How Can Statistics Be Used to Determine the Dark Figure of Corona Infections?

    Streuspanne – Our Blog on Statistics and Jurojin / April 28, 2020

    Coronavirus COVID-19
    © iStockphoto

    In the last post we presented a simple approach that can be used to statistically estimate the dark figure of corona infections (with regard to SARS-CoV-2). We originally developed the approach to explain at least a large part of the very different mortality rates between Italy and Germany (and less to estimate the number of unreported cases as precisely as possible). At the same time, the approach has aroused great interest among many readers and colleagues. We have therefore decided to develop the approach further so that it can estimate the dark figure even better.

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  • How Can Statistics Be Used to Determine the Dark Figure of Corona Infections?

    Streuspanne – Our Blog on Statistics and Jurojin / April 03, 2020

    Coronavirus COVID-19
    © iStockphoto

    On 2 April, Germany reported 73,000 corona infections and 867 deaths. Italy counts 100,000 infections and 12,000 deaths. Based on these figures, the case mortality rate in Italy is more than 10 times higher than in Germany. Experts are clear: this difference is less an expression of a different health care system or a different population structure, but rather an expression of unknown dark figures.

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