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B.Com In Banking & Insurance (BCBI) Sem I 2012 2014 2014 Quantitative Methods Question Paper - Mumbai University | munotes

BBI I Sem Quantitative Methods 2013 14.pdf
SEM I · 2012-2014 · 26 Jan 2026

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Older exam None: this is the earliest we hold
Newer exam 2014 - QM Semester-end · 2012 2014

Questions asked in this paper

  1. Q2 Fieu _ Compulsory and carry equal marks, to right indicate full of each sub-question OF simple calculator js allowed,
    • a) Explain with sui
    • a) with suitable examples the difference between positive and negative
    • b) find coefficient of Correlation for the following data, ) equations. Find mean values of X and Y. Also find
    • p) What are the properties of regression equations?
    • q) Find coefficient of rank correlation for the following Find two regression lines from th
    • a) State and prove theorem on inverse probability. Find mean and variance of x for the given probability distribution, (5) There are 80 counters numbered from to 80, of the counter is drawn at random, the probability that the number on counter is 1) multiple of 7, ii) less than or equal to20, an 5
  2. Q3 p) What are the properties of normal curve, (5) j
    • q) Three cards are drawn from full pack of cards, What is the probability that i) all 3 are red,
    • ii) one red and two black A box contains blue, 6 black and 8 green marbles, If 3 marbles are drawn at random is the probability that i) two are blue and one black, iijone of each color asic problems in construction of index number. (5) Find Laspeyre’s, Paasch and Fisher's index numbers for the following data, (5) A litya Kulkarni had a policy of Rs. 40,000/- After paying 6 annual premium at the rate AS .06 per 1000, he surrendered the policy. The insurance company guaranteed him a ren der value of 35% of the premium paid excluding the first years premium, Find the value that he will receive. (5) 5
  3. Q4 p) Explain briefly policy laps, paid up value and surrender (S) Marshall-Edgeworth and Dorbish Bowley index number for the following (9) Price in Quantity

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