Intensifying quantitative data analysis and interpretation skills of senior high school students using Statistical Toolbox for Android
Vennygene M. Sadsad & Adriel G. Roman
Abstract
This study investigated the effectiveness of the Statistical Toolbox for Android (STA) in enhancing senior high school students’ quantitative data analysis and interpretation skills, compared with the traditional use of calculators. Employing a two-group pre-test–post-test quasi-experimental design, the study involved two groups of students: one utilizing the STA application and the other using calculators. Instruction focused on core statistical procedures, namely the one-sample t-test, t-test for independent samples, one-way ANOVA, and Pearson’s product-moment correlation. Pre-test results indicated that both groups initially demonstrated only beginning-level proficiency in quantitative analysis and interpretation. Following the intervention, post-test results revealed that all participants reached the proficient level. Statistical analysis showed a significant difference in favor of the calculator group in terms of quantitative data analysis skills, suggesting a higher computational efficiency with traditional methods. Conversely, the STA group obtained slightly higher mean scores in interpretation skills, although the difference was not statistically significant, indicating that both approaches were equally effective in fostering interpretation abilities. The findings suggest that while both calculators and STA contribute to skill development, calculators remain more effective for enhancing computational proficiency. Nevertheless, STA and similar mobile applications offer unique pedagogical value by facilitating engagement with complex statistical procedures and promoting digital literacy—skills increasingly vital in modern education. The results underscore the importance of aligning digital tool integration with specific learning objectives, and they highlight the need for further research into context-specific applications of mobile statistical tools in classroom settings.
Keywords
interpretation skills, quantitative data analysis, Statistical Toolbox for Android (STA), statistics
Author information & Contribution
Vennygene M. Sadsad. Corresponding author. Master of Arts in Education Major in Mathematics. Teacher II, Siniloan Integrated National High School. Email: vennygene.marquez@deped.gov.ph
Adriel G. Roman. Doctor of Philosophy in Education. Professor IV, Laguna State Polytechnic University. Email: adriel.roman@lspu.edu.ph
"All authors equally contributed to the conception, design, preparation, data gathering and analysis, and writing of the manuscript. All authors read and approved the final manuscript."
Disclosure statement
No potential conflict of interest was reported by the author(s).
Funding
This work was not supported by any funding.
Institutional Review Board Statement
This study was conducted in accordance with the ethical guidelines set by the Department of Education. The conduct of this study has been approved and given relative clearances by the Schools Division of Laguna.
AI Declaration
The author declares the use of Artificial Intelligence (AI) in writing this paper. In particular, the author used Quillbot and ChatGPT in summarizing key point and paraphrasing ideas. The author takes full responsibility in ensuring proper review and editing of contents generated using AI.
Notes
This paper has been presented in LSPU Research Congress
Acknowledgement
This study would not have been possible without the assistance, support, and encouragement of many individuals who played a significant role in the completion of this study. The researchers are deeply grateful and would like to express her sincere appreciation to the following: First and foremost, to God, for His divine wisdom, guidance, and the strength that sustained her throughout this journey. His presence served as a source of hope and inspiration in times of doubt and difficulty. To the research committee, validators and checkers, whose cooperation and feedback were vital in the validation of her research tools and data. To their family, for their unconditional love, sacrifices, and constant motivation that gave them the strength to persevere. And finally, to friends and colleagues, for their moral support, words of encouragement, and belief in their abilities—thank you for walking with them on this academic journey. This achievement is a collective effort, and to all those mentioned—and even to those whose names may not be listed but have contributed in ways big or small—thank you from the bottom of their heart.
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Cite this article:
Sadsad, V.M. & Roman, A.G. (2025). Intensifying quantitative data analysis and interpretation skills of senior high school students using Statistical Toolbox for Android. International Journal of Science, Technology, Engineering and Mathematics, 5(4), 21-43. https://doi.org/10.53378/ijstem.353269
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