NMIMS Solved Assignment Quantitative Methods-I December 2025: Unique

NMIMS Solved Assignment Quantitative Methods-I December 2025.

NMIMS Solved Assignment Quantitative Methods-I December 2025:  [Unique].

NMIMS Centre for Distance and Online Education (NCDOE):
Course: Quantitative Methods – I
Internal Assignment Applicable for Dec. 2025 Examination:

Q1 A telecommunications company is piloting a new internet service and surveys 250
randomly selected customers, finding that 162 express interest in subscribing. The
marketing analyst is required to estimate, with 90% confidence, the proportion of the
entire customer base likely to be interested in the new service. The analyst must apply
the correct estimation approach for proportions and ensure the results are suitable for
strategic decision-making. In this scenario, how should the marketing analyst apply
the interval estimation formula for proportions to determine the confidence interval
for the proportion of customers interested in a new service? Explain your reasoning
and the steps involved.

Q2 (A) A financial advisory firm tracks client satisfaction rates for three advisors. Initially,
the firm uses prior probabilities based on the number of clients per advisor. After a
client reports high satisfaction, the firm wants to update the probability that this client
was served by each advisor using Bayes’ theorem. The management is debating
whether this approach will yield actionable insights for performance evaluation and
resource allocation. Assess the appropriateness of applying Bayes’ theorem to revise
probabilities in a financial advisory firm where new information about client
satisfaction becomes available. What factors should the firm consider to ensure the
revised probabilities are meaningful and actionable? Critically justify your evaluation.

Q2 (B) A large financial institution is standardizing its risk analysis procedures. Some
departments use Excel’s NORM.DIST and NORM.INV functions for normal
distribution calculations, while others rely on the traditional z-table. Management is
concerned about consistency, accuracy, and the ease of training new analysts. The
institution must decide which method to adopt as the standard for all probability
calculations. Assess the implications of using Excel’s NORM.DIST and NORM.INV
functions versus the traditional z-table for probability calculations in a large financial
institution. How should the institution weigh the trade-offs between computational
efficiency, accuracy, and interpretability when standardizing probability analysis