##### Serhii Kharchenko

Work place: Sumy National Agrarian University, Ukraine

E-mail: kharchenko-sergey@ukr.net

Website: https://orcid.org/0000-0002-2411-6791

Research Interests:

Biography

Sergey Kharchenko currently works at Sumy National Agrarian University. He is the Head of the Department of Physical Education. He received his Ph.D. in Pedagogy (vocational training) with a dissertation on the topic "Formation of healthcare-saving competence of future specialists of agrarian profile in the process of professional-applied physical training". Research interests: Building Health Competence in Colleges and Universities.

##### Analysis of the Results of the Pedagogical Experiment on the Integrated Analysis of the Average and Dispersions

DOI: https://doi.org/10.5815/ijmecs.2022.06.03, Pub. Date: 8 Dec. 2022

Pedagogical scientists often need to process the results of a pedagogical experiment. However, not every scientist (especially in humanitarianism) has appropriate mathematical training, so statistical data processing is a problem for him. Scientists-pedagogues in Ukraine use various statistical methods to process the results of a pedagogical experiment and face the problem of cumbersome calculations and the accuracy of assessments. Therefore, we developed a method that is based on the correct mathematical apparatus, simplifies the processing of empirical data, and allows us to draw qualitative conclusions without the explicit use of mathematical apparatus. To simplify the statistical analysis of the results of the pedagogical experiment and the interpretation of the obtained data, the authors suggest using a spreadsheet and analyzing the data according to Student's and Fisher's criteria (comparing the average sample and its variance) and controlling intermediate indicators of the results of the pedagogical experiment. The method developed by the authors has an advantage compared to other methods: it is enough to analyze the pair "mean and variance" for the sample to conclude the significance of the differences in the control and experimental groups. The method has a simple implementation since almost every researcher has a spreadsheet processor on his computer. The method does not require a thorough knowledge of the statistics course. The method guarantees more reasonable conclusions (two criteria are used at once), which is important when conducting a pedagogical experiment.