Friday, 10 October 2025

Unit wise Online Quizzes of Business Statistics Paper I

 


Online Quizzes Links

https://forms.gle/Pda4dYJcLMsqu7Q2A , https://forms.gle/AvpMuVoUY1MEX1g56

https://forms.gle/neHdf8o7KeeHnHYh7  ,https://forms.gle/qofFStv1JsthiSMQ8

https://forms.gle/oaf5vC7akeYdq2939 , https://forms.gle/MH6NSaec6B4YkUH27

https://forms.gle/fJPmWfY2umQxiySR6 , https://forms.gle/hQcQw62KfaH3Xmk68

https://forms.gle/HZBAGyP4u7asjUY29 , https://forms.gle/kCzzjm1KYag8dGHu7

https://forms.gle/kt9RKNGVYcU2KFq19 , https://forms.gle/jB2wsYcT2PBa7x9A8

https://forms.gle/BK7qef51EMfWWUCj7


Summary Report:

Online Quiz Series for Business Statistics Paper I

 Department of Statistics, Deshbhakta Ratnappa Kumbhar College of Commerce (DRKCC), Kolhapur, successfully conducted a series of 13 online quizzes for students of B.Com. II (Semester III) as part of the Business Statistics Paper I course. This initiative was designed to integrate modern ICT tools into the curriculum, ensuring that students remain engaged with the subject matter outside the traditional classroom setting. Each quiz was strategically aligned with the syllabus modules – ranging from data collection and measures of central tendency to dispersion and correlation – providing a continuous assessment framework that encouraged consistent study habits throughout the semester.

The primary objective of this activity was to acquaint students with the digital evaluation process, preparing them for the increasing shift toward online examinations in professional and competitive spheres. By participating in these 13 assessments, students benefited from a personalized learning experience; the immediate feedback provided by the online platform allowed individuals to identify their specific strengths and weaknesses in statistical calculations and conceptual theory. This personalized approach not only boosted student confidence in handling quantitative data but also streamlined the evaluation process for faculty, ensuring a transparent, data-driven, and highly efficient method of tracking academic progress.

 

Dr. N. H. Jadhav

Assistant Professor of Statistics

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