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Construction of a Mathematical Statistics Experimental Platform Based on Mobile Platform and Embedded System

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DOI: 10.23977/acss.2024.080409 | Downloads: 6 | Views: 222

Author(s)

Xinyuan Sun 1, Wei Wang 2

Affiliation(s)

1 School of Mathematics & Statistics, Anhui Normal University, Wuhu, Anhui, 241000, China
2 Basic Teaching College, Nantong Institute of Technology, Nantong, Jiangsu, 226000, China

Corresponding Author

Wei Wang

ABSTRACT

Mathematical statistics is a scientific method that studies how to collect, organize and analyze data to reveal the inherent quantitative regularity of things. It has a wide range of applications in agriculture, industrial production, and socio-economic fields, such as seed selection, process improvement, socio-demographic surveys and psychological analysis. This paper proposes a mathematical statistics experiment platform based on mobile platform and embedded system, which realizes data transmission and real-time monitoring through wireless communication technology and user interface, and introduces the key technology of Hadoop-based big data platform. The experimental results demonstrate the effectiveness of the platform in random number generation, sample data analysis, hypothesis testing and regression analysis. In the future, with the development of cloud computing and big data technologies, data analytics tools will be combined with artificial intelligence and machine learning to provide more advanced intelligent analytics and predictive capabilities, enabling automatic identification, classification and pattern discovery of data, improving analytical efficiency and accuracy, and supporting real-time decision-making and response.

KEYWORDS

Mathematical Statistics, Experimental Platform, Big Data, Hadoop, Data Analysis

CITE THIS PAPER

Xinyuan Sun, Wei Wang, Construction of a Mathematical Statistics Experimental Platform Based on Mobile Platform and Embedded System. Advances in Computer, Signals and Systems (2024) Vol. 8: 59-66. DOI: http://dx.doi.org/10.23977/acss.2024.080409.

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