STATISTICAL LITERACY: A BRIDGE BETWEEN ACADEMIC LEARNING AND PRACTICE: STATISTICAL LITERACY: A BRIDGE BETWEEN ACADEMIC LEARNING AND PRACTICE

Sarah Tanus; Valquíria Miwa Hanai-Yoshida; Rogério Augusto  Profeta

doi:10.51473/rcmos.v1i1.2025.867

Authors

Sarah Tanus Universidade de Sorocaba - Uniso Author
Valquíria Miwa Hanai-Yoshida Universidade de Sorocaba - Uniso Author
Rogério Augusto Profeta Universidade de Sorocaba - Uniso Author

DOI:

https://doi.org/10.51473/rcmos.v1i1.2025.867

Abstract

Statistical education is becoming increasingly relevant in the digital age, marked by data-driven decision-making. However, it still faces persistent challenges. Research conducted by the Program for the International Assessment of Adult Competencies (PIAAC) and the Program for International Student Assessment (PISA) highlights the difficulties many adults face in interpreting statistical data. This article on statistical education in higher education is based on a survey that analyzed the perceptions of professionals from the Sorocaba Metropolitan Region about the implementation and use of statistical knowledge in the professional environment. The study aimed to identify the critical points for implementing and disseminating statistical techniques and thinking in companies, exploring the gap between academic training in statistics and its practical application. The quantitative methodology was based on a structured questionnaire completed by 410 professionals from the region, and the data analysis categorized the companies, represented by the professionals' responses, into three levels of statistical proficiency: beginner, intermediate, and advanced. The results indicate that the main challenges to implementing statistics in companies include the need for data culture and limited statistical competence. It is concluded that the development of statistical literacy can overcome the barriers between available statistical tools and their application in organizations. This study aligns with the perspective of promoting conscious statistical education and is focused on ways to mobilize knowledge in the service of people and their projects.

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Author Biographies

Sarah Tanus , Universidade de Sorocaba - Uniso

Sarah Tanus é professora na Universidade de Sorocaba desde 1995. Possui experiência como docente do ensino superior, ministrando disciplinas como Cálculo Diferencial e Integral, Estatística Descritiva e Inferencial, Equações Diferenciais e Matemática Financeira. É doutora pelo programa em Processos Tecnológicos e Ambientais pela Universidade de Sorocaba, mestre em Educação Matemática pela Universidade Estadual Paulista Júlio de Mesquita Filho, Unesp, em Rio Claro, e graduada em Matemática, com licenciatura, pela mesma instituição, Unesp, em Presidente Prudente. Além disso, possui formação complementar em Tópicos de Aperfeiçoamento em Estatística pelo Instituto de Matemática e Estatística da Universidade de São Paulo (IME USP) e concluiu o curso de curta duração "Big Data: Transformando Dados em Informação" no Insper.

https://orcid.org/0009-0008-5970-8392
Valquíria Miwa Hanai-Yoshida, Universidade de Sorocaba - Uniso

Possui doutorado em Ciências Farmacêuticas pela Universidade Estadual Paulista Júlio de Mesquita Filho - Unesp (2014), mestrado em Ciências Farmacêuticas pela Universidade de Sorocaba (2009) e graduação em Farmácia e Bioquímica pela Universidade Estadual Paulista Júlio de Mesquita Filho (1994). Atualmente está como Coordenadora do Programa de Pós-Graduação pesquisadora e professora titular da Universidade de Sorocaba. Tem experiência na área de Farmácia, com ênfase em Farmacotecnia, atuando principalmente nas áreas de cosmetologia, farmacotecnia, instrumentação analítica, pesquisa e desenvolvimento de fármacos e medicamentos, e tecnologia farmacêutica. Tem experiência na área multiprofissional, multidisciplinar e Interdisciplinar, com ênfase em pesquisa e desenvolvimento de indicadores de desempenho.

https://orcid.org/0000-0003-2022-4485

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