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Bachelor Of Management Studies (BMS) SEM I 2018 19 Nov 2018-19 BUSINESS STATISTICS Question Paper - Mumbai University | munotes

F.Y.BMS SEM I NOV DEC.18 (CHOICE BASE) BUSINESS STATISTICS (3. DEC.18) (P.C. 59837).pdf
SEM I · 2018-19 · 355 KB · 1 May 2025

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Questions asked in this paper

  1. Q2 Graph papers will be provided on request
  2. Q3 Use of Non-Programmable Calculators is allowed
  3. Q4 Figures to the right indicate full marks
  4. Q5 In Qno. 1 attempt both the sub parts A and B Fill in the blanks (any 8 out of 10)
    • i. The data collected for the first time is . (Secondary data, Primary Data, Raw
    • ii. | The middlemost observation, dividing the entire distribution into two equal parts is known as
    • iii. If the values of Arithmetic Mean and Median are 34.5 and 34.1 respectively, then the value of mode
    • iv. The diagram used to get rough idea about relationship between variables x and y is known.as
    • v. The Co-efficient of Correlation always lies between & 0)
    • vi. |The Correlation Co-efficient is ~ of Regression Co-efficients Vii. The method used to derive regression constants of a regression equation is as
    • viii. are components of atime series. (3, 4, 5)
    • ix. Least Square Method is used to compute
    • x. The variation occur due to seasonal changes in atime series 1b) State True or False for any Seven out of Ten. 7qx1m=7m
    • i) The Histogram can be used to locate graphically the value of Median
    • ii) The suitable measure of dispersion to indicate extreme variations in the data is Range
    • iii) If the value of co-efficient of variation is more, the consistency of the data is more
    • iv) An occurrence of to any statistical experiment is called Sample Space
    • v) The family Budget Method is used to calculate the Chain Base Index Numbers
    • vi), Future trend values can be estimated with the help of Straight Line Trend
    • vii) the two regression coefficients are negative, then the value of the correlation co-efficient will be
    • viii) rank correlation co-efficient, if the values of variable x are ranked in increasing order, then the values of variable y must be ranked in increasing order
    • ix) If two variables x and y are highly correlated then Y can be estimated for a given value of X using Regression Equation of Yon X
    • x) Mean Deviation is a Relative Measure of Dispersion 2a) Represent the following data by a Subdivided Bar Diagram (7m) 2b) Calculate Median for the following data and locate it graphically (8m) No of Students 2p) The Regional percentage of viewers for a popular TV Serial on DD Metro Channel for 3 months are as follows. Represent the following data by Multiple Bar Diagram. (7m) 2q) Calculate Arithmetic Mean and Mode from the following data. (8m) No of Children 3a) Calculate Mean Deviation from Mean and its Co-efficient for the following data. (8m) 3b) Calculate Correlation Co-efficient for the following data. (7m) 3p) Find Standard Deviation and Co-efficient of Variation for the following data. (8m) No of Students 3q) Calculate Regression Equation of yon x for the following data. Also Estimate y when x = 70. (7m) 4a) Calculate Fishers Index Number for the following data. Also construct Cost of Living Index Number using 4b) Calculate Five Yearly Moving Averages and represent it graphically. (7m) 4p) Calculate Chain Base Index Numbers for the following data. (7m) 4q) Fit a Straight Line Trend for the following Time Series and represent it graphically. (8m) 5a) For the following probability distribution, obtain i) P(X ii) P(X or 3)
    • iv) V(X) (7m) 5b) For the following Payoff table, find the optimal decision using Laplace Criterion and Minimax 5p) Write short any three out of five. (3q x 5m = 15m)
    • i. Components of Decision Making
    • ii. Sources of collection of Primary Data
    • iii. State the Additive Law of Probability. How. will the statement of the theorem be modified if the two events are Mutually Exclusive and Complimentary Events
    • iv. Components of Time Series
  5. Q5 Distinguish between: Qualitative & Quantitative Data; Class Limits & Class Boundaries

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