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Applied Statistics - Two Marks Study Materials

12th Standard

    Reg.No. :
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Business Maths

Time : 00:45:00 Hrs
Total Marks : 30
    15 x 2 = 30
  1. Fit a trend line by the method of freehand method for the given data

    Year 2000 2001 2002 2003 2004 2005 2006 2007
    Sales 30 46 25 59 40 60 38 65
  2. What is the need for studying time series?

  3. Define secular trend.

  4. Find the trend of production by the method of a five-yearly period of moving average for the following data:

    Year 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990
    Production(‘000) 126 123 117 128 125 124 130 114 122 129 118 123
  5. Write note on Fisher’s price index number.

  6. State the uses of Cost of Living Index Number.

  7. Using Fisher’s Ideal Formula, compute price index number for 1999 with 1996 as base year, given the following:

    Year Commodity: A Commodity: B Commodity: C
    Price (Rs.) Quantity (Kg) Price (Rs.) Quantity (Kg) Price (Rs.) Quantity (Kg)
    1996 5 10 8 6 6 3
    1999 4 12 7 7 5 4
  8. Define a control chart.

  9. Write the control limits for the R chart.

  10. Using the method ofleast squares, fit a straight line trend for Σx = 10, Σy = 16.9, Σx2 = 30, Σxy = 47.4 and n = 7.

  11. Calculate the 3-yearlymoving averages of the production figures (in tonnes) for the following data.

    Year 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987
    Production 15 21 30 36 42 46 50 56 63 70 74 82 90 95 102
  12. Calculate the seasonal indices by the method of simple average for the following data.

    Year I quarter II quarter III quarter IV quarter
    1985 68 62 61 63
    1986 65 58 66 61
    1987 68 63 63 67
  13. Calculate the cost of living index by aggregate expenditure method

    Commodity Quantity Price(Rs.)
      2000 2000 2003
    A 100 8 12
    B 25 6 7.50
    C 10 5 5.25
    D 20 48 52
    E 65 15 16.50
    F 30 19 27.00
  14. Construct the cost of living index for 2003 on the basis of 2000 from the following data using family budget method.

    Item Price(Rs.) Weights
    Food 2000 2003 30
    Rent 200 280 30
    Clothing 150 120 20
    Fuel & lighting 50 100 10
    Miscellaneous 100 200 20
  15. The following data shows the value of sample mean (\(\bar{X}\)) and the range R for 10 samples of size 5 each. Calculate the control limits for : mean chart and range chart.

    Sample No. 1 2 3 4 5 6 7 8 9 10
    Mean \(\bar{X}\) 11.2 11.8 10.8 11.6 11.0 9.6 10.4 9.6 10.6 10.0
    Range 7 4 8 5 7 4 8 4 7 9

    (Given for n = 5, A2 = .577, D3 = 0, D4 = 2.115)

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