The advantages and limitations of primary and secondary data were discussed. The speaker introduced the audience to the different sources of data, its collection, and their importance. Naveen Kumar MS welcomed all the participants and the speaker before letting the latter take over the session. Formulation of hypothesis and difficulties in doing so were also discussed.Дay 2: Statistical Data Collection by Dr. He also explained the characteristics, functions, types, and sources of the hypothesis. The speaker briefed the participants about the meaning and need for the hypothesis. The insightful session covered all the relevant aspects of hypothesis formulation. The participants were briefed about the general guidelines to be adhered to during the session for smooth conduct. The hosts welcomed the participants and the speaker for the session, Dr. Sunil Goyal - Professor and HOD, Social Scientist Government College, Anjad, Devi Ahilya University, and Professor Saurabh Agarwal - Consultant for IBM and UNESCO for Business Analytics.Дay 1: Research Hypothesis вЂ“ Significance and Framing by Dr. The five-day event focused on using SPSS for data analysis and interpretation, applying basic concepts of statistics involved in hypothesis testing, uncovering the basics of research methodology and nature of data, and evaluating the selection criteria while choosing an appropriate statistical technique. The well-designed structure of the program covered almost all relevant aspects of statistical data analysis data preparation, data cleansing, inferential statistical techniques, including the theoretical aspects behind those. This FDP aimed to help them sharpen their analytical skills through SPSS (Statistical Package for Social Sciences). JAIN (Deemed-to-be University),В School of Commerce - Samshodhana (Faculty Research Cell) organized a five-day virtual national level Faculty Development Program (FDP) on Statistical Analysis in Research Using SPSSВ from October 4 to October 8, 2021. Management faculties and researchers consider data analysis an integral part of the course curriculum. Data Analysis is the key to finding appropriate solutions for simple as well as complex business issues. It involves specialized professionals making the best use of their skills and derivatives with scientific and logical reasoning.

Data Analysis is an integral part of business decision-making due to high competition among businesses.

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