The Use of Statistical Calculations in Determining the Necessary and Sufficient Volume of the Studied Material
- Authors: Lalova T.I.1
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Affiliations:
- Issue: No 3 (2023)
- Pages: 34-40
- Section: Articles
- URL: https://journals.rcsi.science/2454-0749/article/view/370084
- DOI: https://doi.org/10.7256/2454-0749.2023.3.39312
- EDN: https://elibrary.ru/JLEGJQ
- ID: 370084
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Abstract
This article discusses the most common statistical computer programs for processing an array of data. The method of determining "manually" the required amount of experimental material is proposed. Based on the data of descriptive statistics, an analysis of a specific research situation is carried out using mathematical formulas that include a finite set of empirical data obtained in a sample of measurements, finding the "best" value for estimating the "exact" value of the measured value and determining the accuracy of measurements. As a result of the calculations performed, the percentage of permissible error is demonstrated, as well as the necessary amount of the studied material to reduce it. Based on the results of calculations, it becomes possible to draw a conclusion about the reliability of the results of the experiment. This article discusses the use of statistical software to prove the truth and reliability of the conclusions obtained as a result of experiments conducted in the course of scientific research. The given method - data analysis using statistical calculations is of great importance in various types of activities. Statistical data processing is an important element in any activity. In certain professions, statistical analysis is resorted to from time to time, in others - often or even daily. With its help, it is possible to study various data arrays, manage them, draw conclusions from the results obtained, formalize them into tables or present them in the form of graphs when compiling reports and preparing scientific articles.
References
Бочкарёв С.В. [и др.] Планирование и обработка результатов эксперимента: учебник /. – Старый Оскол: ТНТ, 2020.-508 с. Князев Б.А., Черкасов В.С. Начала обработки экспериментальных данных. – Н. – изд. НГУ, 1996. – 43 с. https://softlist.com.ua/articles/10-luchshikh-programm-i-instrumentov-dlia-statisiki-v-2022-godu/
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