Statistics 2025 Paper II 50 marks Solve

Q3

(a) A company manufactures 30 items per day. The sale of those items depends upon demand which has the following distribution : | Sale (units) | 27 | 28 | 29 | 30 | 31 | 32 | |-------------|----|----|----|----|----|----| | Probability | 0·10 | 0·15 | 0·20 | 0·35 | 0·15 | 0·05 | The production cost and selling price of each unit are ₹ 400 and ₹ 500 respectively. Any unsold product is to be disposed off at a loss of ₹ 150 per unit. There is a penalty of ₹ 50 per unit if the demand is not met. Use the following random numbers to estimate total profit/loss for the company for the next 10 days : 23, 99, 65, 99, 95, 01, 79, 11, 16, 10 If the company decides to produce 20 items per day, what is the advantage or disadvantage to the company? (15 marks) (b) A company has four plants P₁, P₂, P₃ and P₄ from which it supplies to three markets M₁, M₂ and M₃. Determine the optimal transportation plan from the following data giving the plant to market shifting costs, quantities available at each plant and quantities required at each market : | Market ↓ | P₁ | P₂ | P₃ | P₄ | Required at market | |:---|:---:|:---:|:---:|:---:|:---:| | M₁ | 19 | 14 | 23 | 11 | 11 | | M₂ | 15 | 16 | 12 | 21 | 13 | | M₃ | 30 | 25 | 16 | 39 | 19 | | Available at plant | 6 | 10 | 12 | 15 | 43 | (15 marks) (c) On January 1 (this year), brands A, B and C of a commodity had 40, 40 and 20 percent of the market share. Basing upon a market research, it is compiled that brand A retains 90 percent of its customers, while gaining 5 percent of B's customers and 10 percent of C's customers. Brand B retains 85 percent of its customers, while gaining 5 percent of A's customers and 7 percent of C's customers. Brand C retains 83 percent of its customers and gains 5 percent of A's customers and 10 percent of B's customers. What will be each brand's share on January 1 (next year) and what will be each brand's share in the market at equilibrium? (20 marks)

हिंदी में प्रश्न पढ़ें

(a) एक कंपनी प्रतिदिन 30 मदों का निर्माण करती है। उन मदों की बिक्री मांग पर निर्भर करती है, जो निम्नलिखित बंटन का अनुसरण करती है : | बिक्री (इकाई) | 27 | 28 | 29 | 30 | 31 | 32 | |-------------|----|----|----|----|----|----| | प्रायिकता | 0·10 | 0·15 | 0·20 | 0·35 | 0·15 | 0·05 | उत्पादन लागत तथा विक्रय मूल्य प्रति इकाई क्रमशः : ₹ 400 और ₹ 500 है। किसी भी अनबिके उत्पाद का निपटान ₹ 150 प्रति इकाई की हानि पर किया जाता है। यदि मांग पूरी नहीं हुई, तो ₹ 50 प्रति इकाई का जुर्माना है। निम्न यादृच्छिक संख्याओं का उपयोग करके अगले 10 दिनों के लिए कंपनी के/की कुल लाभ/हानि का आकलन कीजिए : 23, 99, 65, 99, 95, 01, 79, 11, 16, 10 यदि कंपनी प्रतिदिन 20 मदों का उत्पादन करने का निर्णय करती है, तो कंपनी को क्या लाभ या हानि है? (15 अंक) (b) एक कंपनी के पास चार प्लांट P₁, P₂, P₃ और P₄ हैं, जिनमें से यह तीन बाजारों M₁, M₂ तथा M₃ में आपूर्ति करती है। निम्न दिए गए आंकड़ों, जिसमें प्लांट से बाजार तक स्थानांतरण लागत, प्रत्येक प्लांट पर उपलब्ध मात्रा तथा प्रत्येक बाजार में आवश्यक मात्राएं हैं, का उपयोग करके इष्टतम परिवहन योजना प्राप्त कीजिए : | बाजार ↓ | प्लांट | | | | बाजार में आवश्यक | |---------|--------|--------|--------|--------|---------------| | | P₁ | P₂ | P₃ | P₄ | | | M₁ | 19 | 14 | 23 | 11 | 11 | | M₂ | 15 | 16 | 12 | 21 | 13 | | M₃ | 30 | 25 | 16 | 39 | 19 | | प्लांट पर उपलब्ध | 6 | 10 | 12 | 15 | 43 | (15 अंक) (c) जनवरी 1 (इस वर्ष) को एक वस्तु के ब्रांड A, B और C के पास बाजार शेयर के 40, 40 तथा 20 प्रतिशत थे। बाजार अनुसंधान के आधार पर यह संकलन किया गया कि ब्रांड A अपने 90 प्रतिशत ग्राहकों को बनाए रखता है, जबकि उसमें 5 प्रतिशत B के ग्राहक और 10 प्रतिशत C के ग्राहक बढ़ जाते हैं। ब्रांड B अपने 85 प्रतिशत ग्राहकों को बनाए रखता है, जबकि उसमें 5 प्रतिशत A के ग्राहक और 7 प्रतिशत C के ग्राहक बढ़ जाते हैं। ब्रांड C अपने 83 प्रतिशत ग्राहकों को बनाए रखता है, जबकि उसमें 5 प्रतिशत A के ग्राहक और 10 प्रतिशत B के ग्राहक बढ़ जाते हैं। प्रत्येक ब्रांड के शेयर जनवरी 1 (अगले वर्ष) क्या होंगे और प्रत्येक ब्रांड के शेयर संतुलित बाजार में क्या होंगे? (20 अंक)

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How this answer will be evaluated

Approach

Solve all three sub-parts systematically: for (a) set up the Monte Carlo simulation with correct random number intervals and profit/loss calculations; for (b) apply the transportation algorithm (VAM for IBFS then MODI/UV method for optimization); for (c) construct the transition probability matrix and compute next year's shares, then solve for steady-state equilibrium using πP = π. Allocate approximately 30% time to (a), 30% to (b), and 40% to (c) given the 20 marks weightage for part (c). Present all working clearly with tabular formats where appropriate.

Key points expected

  • For (a): Correctly establish random number intervals for demand simulation (00-09→27, 10-24→28, 25-44→29, 45-79→30, 80-94→31, 95-99→32) and calculate profit/loss for each of 10 days using given random numbers
  • For (a): Compute total profit for 10 days with production=30, then recompute for production=20 to compare advantage/disadvantage with clear numerical conclusion
  • For (b): Obtain initial basic feasible solution using Vogel's Approximation Method (VAM) and verify degeneracy condition (m+n-1=6 basic cells)
  • For (b): Apply MODI/UV method to test optimality and iterate if needed to reach optimal transportation schedule with minimum total cost
  • For (c): Construct correct transition probability matrix from customer retention and switching data, then compute January 1 next year shares by matrix multiplication
  • For (c): Set up and solve system of linear equations πA=π, πB=π, πC=π with πA+πB+πC=1 to find equilibrium market shares

Evaluation rubric

DimensionWeightMax marksExcellentAveragePoor
Setup correctness20%10For (a): Correct random number intervals mapped to demand distribution; for (b): Properly balanced transportation problem with dummy if needed, correct cost matrix; for (c): Accurate transition probability matrix with rows summing to 1Minor errors in interval mapping or one/two transition probabilities incorrect, but overall structure recognizableFundamental errors in problem setup: wrong probability intervals, unbalanced transportation problem without adjustment, or major errors in transition matrix
Method choice20%10For (a): Monte Carlo simulation correctly applied; for (b): VAM for IBFS followed by MODI/UV for optimality test; for (c): Matrix multiplication for next year, proper eigenvector approach for equilibriumCorrect method chosen but incomplete application (e.g., VAM used but optimality test missing, or equilibrium found by iteration without algebraic solution)Wrong methods chosen (e.g., LCM/NWC instead of VAM, no optimality test, incorrect approach to equilibrium)
Computation accuracy20%10All calculations accurate: correct demands from random numbers, precise profit/loss figures, correct IBFS and optimal cost, accurate matrix operations and equilibrium solutionMinor arithmetic errors (1-2 calculation mistakes) but method and approach correctMultiple calculation errors affecting final answers, or systematic errors in applying algorithms
Interpretation20%10Clear interpretation: for (a) explicit comparison showing advantage/disadvantage with ₹ difference; for (b) optimal allocation stated with economic insight; for (c) meaningful discussion of market dynamics and convergence to equilibriumNumerical answers present but interpretation superficial or missing economic/business contextNo interpretation provided, or incorrect interpretation of results (e.g., wrong conclusion about advantage/disadvantage)
Final answer & units20%10All final answers clearly boxed/stated with proper units: total profit in ₹ for (a), minimum transportation cost in ₹ for (b), market share percentages for (c) next year and equilibriumAnswers present but units missing or inconsistent, or not clearly distinguished as final answersMissing final answers, wrong units, or answers not identifiable from working

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