NMIMS Solved Assignment Quantitative Methods-I December 2026: Unique

NMIMS Solved Assignment Quantitative Methods-I Dec 2026.

NMIMS Solved Assignment Quantitative Methods-I Dec 2026:  [Unique].
Get the solved assignment for MBA NMIMS Quantitative Methods – I for the Dec 2026 cycle.
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NMIMS Centre for Distance and Online Education (NCDOE):
Course: Quantitative Methods – I
Internal Assignment Applicable for Dec 2026 Examination:

Assignment Marks: 20

Q1 A retail chain prided itself on aligning snack offerings with customer preferences,
historically finding that 40% of customers favored healthy snacks. After changing
suppliers, a sample of 150 recent sales transactions shows a new proportion of
healthy-snack purchases. The market research analyst is tasked with evaluating, using
statistical methods and z-scores for proportions, whether this change reflects a
genuine shift in customer taste or random sampling variation. How should the market
research analyst apply z-score formulas for proportions to assess if the adjusted snack
assortment aligns with customer preferences, given recent survey results and
comparison with established proportions? Provide a framework for the analysis and
discuss its practical implications for stock management.
(10 Marks)
Q2 (A) A leading e-commerce company is analyzing customer purchase behaviors to
optimize inventory. The data science team must ensure that probability concepts such
as mutually exclusive, overlapping, and independent events are correctly applied
when modeling the likelihood of customers purchasing specific combinations of
products. Senior management notices that sometimes probabilities are incorrectly
added or multiplied without checking event types, leading to errors in sales
forecasting and inventory management. Evaluate the consequences of misapplying the
addition and multiplication theorems of probability in the context of this company’s
inventory planning. Critically assess how recognizing the distinctions between
mutually exclusive, overlapping, independent, and dependent events can improve
accuracy in sales forecasts and resource allocation decisions. Justify strategies to
avoid these analytical mistakes.
(5 Marks)
Q2 (B) An insurance company has designed a life policy where payments to members are
made on their 65th birthday and every subsequent 5th year. Historical data shows the
average lifespan of policyholders is 67.2 years with a standard deviation of 4.8 years,
and lifespan is assumed to follow a normal distribution. Recently, Under the normal
distribution assumption, the estimated probabilities are that 32.28% of members
receive no payment, 28.1% receive two or more payments, and 4.78% receive exactly
three payments (between 75 and 80 years lifespan). The policy team is considering
whether the interpretation of these statistics is appropriate for financial forecasting
and risk management. Critically evaluate the suitability of using the normal
distribution assumptions in predicting insurance payouts for this policy. Justify
whether the decision-making processes based on these probabilities reflect real-world
claim risks and suggest how management could improve their forecasting accuracy
given the organizational context.
(5 Marks)