The Impact of BABA: Mean Absolute Deviation (MAD) Tool: Beyond Spreadsheet Simple Statistics

Tuan Badrol Hisham Tuan Besar, Idaya Husna Mohd, Sharidatul Akma Abu Seman and Siti Nadia Nadirah Abdull Malek
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Tuan Badrol Hisham Tuan Besar: Faculty of Business Management, UiTM Cawangan Selangor, 47000 Bandar Puncak Alam, Selangor
Idaya Husna Mohd: Faculty of Business Management, UiTM Cawangan Selangor, 47000 Bandar Puncak Alam, Selangor
Sharidatul Akma Abu Seman: Faculty of Business Management, UiTM Cawangan Selangor, 47000 Bandar Puncak Alam, Selangor
Siti Nadia Nadirah Abdull Malek: Faculty of Business Management, UiTM Cawangan Selangor, 47000 Bandar Puncak Alam, Selangor

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 9, 1922-1929

Abstract: This study evaluates the effectiveness and user experience of the Business Analytic Basic Aid (BABA) Mean Absolute Deviation (MAD) tool compared to manual MAD calculations using Excel among students. Initially, students were taught to perform MAD calculations manually with Excel, followed by an introduction to the BABA automated MAD tool. A survey was conducted to assess various aspects of usability, complexity, and overall experience with both methods. Survey results indicated a general preference for the BABA automated MAD tool, with high ratings for ease of use (mean: 3.96) and quick learning (mean: 4.06). However, the tool was perceived as somewhat complex (mean: 2.88), and students expressed a need for technical support (mean: 3.36). Despite these challenges, confidence in using the tool was high (mean: 3.78), and students appreciated its well-integrated functions (mean: 3.88).The findings suggest that while the BABA automated MAD tool provides significant advantages over manual calculations, further refinements and user support are needed to address its complexities. The study highlights the potential for improved learning outcomes and efficiency in statistical analysis through the adoption of automated tools in educational settings, offering valuable insights for educators and tool developers.

Date: 2024
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