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C. Assuming 45% of all write-off loans were to be reinstalled (taken back), compute 55% of the Total outstanding loans balance - 8 Marks D.
C. Assuming 45% of all write-off loans were to be reinstalled (taken back), compute 55% of the Total outstanding loans balance - 8 Marks D. Assuming the SLT office decides to write-off the outstanding loans balance for all those with 4 or more dependents, compute the 3 quantile of the outstanding loan balance - 7 Marks Question Two A. "With vast amounts of data now available, companies in almost every industry are focused on exploiting data for competitive advantage". With reference to specific examples, explain four (4) ways GIMPA as an instituto can exploit the principles of data analytics to increase its competitive positioning in the Education industry in Ghana and beyond - 10 marks B. In your own words, explain 'causal modeling' in data analytics and discuss the significant of causal technique in Covid-19 prognosis - 5 Marks Question Three A. One of the key principles of data mining is outlier analysis. Explain using specific examples how-National Health Insurance Scheme (NHIS) can apply outlier analysis to detect fraud in monthly NHIS claims - 10 Marks B. Explain in your words, any five (5) significant challenges associated with mining data for decision purposes - 5 marks Question Four A. Assuming summary statistics for data analysis computes Averages, Median. Interquartile range, Standard deviation and the population Variance of a dataset. Using the dataset in the Question 1 above, compuse the summary statistics for the students loan balance for all graduates who are at least 25 years old (All assumptions clearly Mated - 20 marks)
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