As a rule, counting, measurement and experimental data of various origins are initially protocolled or stored in the order of their occurrence. For descriptive and/or analytical processing of such data, it is often advantageous, at times even mandatory, to sort the data in ascending or descending order according to their size, i.e., to bring them into a so-called rank order. In particular, in applied statistics, rank orders form the foundation for certain evaluation methods or graphical presentations, for example in probability charts.

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The concept of signal (S) to noise (N) ratios has high visibility in design of experiment circles due to the work of Taguchi and his disciples. In this paper we will look into one of the signal to noise ratios and provide an answer to the question of “How large the ratio should be to call it a significant signal?"

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Industrial environments demand rugged and reliable solutions regardless of the type of system to be deployed. Electronics as a group are some of the most mechanically and performance fragile systems that live on the shop floor. Within this environment there are frequent examples of noise and interference sources that disturb or otherwise impair the reliable functioning of electronics. More and more, wireless sensors and metrology instruments are being deployed in production areas. Wireless systems deliver their quality or production data to critical operations downstream and are crucial components of the modern production reality. With this said, wireless data transmission of data is critically needed and simultaneously vulnerable to shop induced interference.

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