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The article highlights the need to broaden the analysis of the quality of the survey results, taking into account the negative impact of certain operations of so-called editing input data, such as checking their accuracy and correction of errors. In the conclusions it underlines the need to extend the programs for academic lectures in statistics for analysis of the impact of processing operations on the quality of the results.

A magnetotelluric data processing code has been developed, which demonstrates high robustness to intense electromagnetic noise occurring in measured MT data. Key features of the code are specific approach for estimating different transfer functions and capability to utilize all four channels acquired at remote reference station. The code utilizes various techniques to reduce estimate errors, including robust Huber estimator, jackknife approach, improved remote reference technique and compensating for overestimation of power spectra. The proposed code has shown high efficiency in processing of low signal-to-noise data.

Data analyses using methods of exploratory and inductive statistics nowadays form an integral part of many areas of human activities. The paper is focused on the statistical processing of data using a new application STAT1 that works under Microsoft Office Excel. The explanation is given, the source is stated, and the comparison with alternative application software tools is mentioned. Moreover, the examples of practical utilization of STAT1 in the military area are presented.