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State whether the following statement is True or False:
Moving average method of finding trend is very complicated and involves several calculations
Concept: Measurement of Secular Trend
Following table shows the amount of sugar production (in lac tons) for the years 1971 to 1982
| Year | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 |
| Production | 1 | 0 | 1 | 2 | 3 | 2 |
| Year | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 |
| Production | 4 | 6 | 5 | 1 | 4 | 10 |
Fit a trend line by the method of least squares
Concept: Measurement of Secular Trend
Obtain the trend values for the data, using 3-yearly moving averages
| Year | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 |
| Production | 0 | 4 | 4 | 2 | 6 | 8 |
| Year | 1982 | 1983 | 1984 | 1985 | 1986 | |
| Production | 5 | 9 | 4 | 10 | 10 |
Concept: Measurement of Secular Trend
Use the method of least squares to fit a trend line to the data given below. Also, obtain the trend value for the year 1975.
| Year | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 |
| Production (million barrels) |
0 | 0 | 1 | 1 | 2 | 3 | 4 | 5 |
| Year | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | |
| Production (million barrels) |
6 | 8 | 9 | 9 | 8 | 7 | 10 |
Concept: Measurement of Secular Trend
Complete the table using 4 yearly moving average method.
| Year | Production | 4 yearly moving total |
4 yearly centered total |
4 yearly centered moving average (trend values) |
| 2006 | 19 | – | – | |
| `square` | ||||
| 2007 | 20 | – | `square` | |
| 72 | ||||
| 2008 | 17 | 142 | 17.75 | |
| 70 | ||||
| 2009 | 16 | `square` | 17 | |
| `square` | ||||
| 2010 | 17 | 133 | `square` | |
| 67 | ||||
| 2011 | 16 | `square` | `square` | |
| `square` | ||||
| 2012 | 18 | 140 | 17.5 | |
| 72 | ||||
| 2013 | 17 | 147 | 18.375 | |
| 75 | ||||
| 2014 | 21 | – | – | |
| – | ||||
| 2015 | 19 | – | – |
Concept: Measurement of Secular Trend
Obtain the trend values for the following data using 5 yearly moving averages:
| Year | 2000 | 2001 | 2002 | 2003 | 2004 |
| Production xi |
10 | 15 | 20 | 25 | 30 |
| Year | 2005 | 2006 | 2007 | 2008 | 2009 |
| Production xi |
35 | 40 | 45 | 50 | 55 |
Concept: Measurement of Secular Trend
Following table shows the amount of sugar production (in lakh tonnes) for the years 1931 to 1941:
| Year | Production | Year | Production |
| 1931 | 1 | 1937 | 8 |
| 1932 | 0 | 1938 | 6 |
| 1933 | 1 | 1939 | 5 |
| 1934 | 2 | 1940 | 1 |
| 1935 | 3 | 1941 | 4 |
| 1936 | 2 |
Complete the following activity to fit a trend line by method of least squares:
Concept: Measurement of Secular Trend
Choose the correct alternative :
The price Index Number by Weighted Aggregate Method is given by ______.
Concept: Construction of Index Numbers >> Weighted Aggregate Method
Choose the correct alternative:
Walsh's Price Index Number is given by
Concept: Construction of Index Numbers >> Weighted Aggregate Method
Calculate
a) Laspeyre’s
b) Passche’s
c) Dorbish-Bowley’s Price Index Numbers for following data.
| Commodity | Base Year | Current Year | ||
| Price | Quantity | Price | Quantity | |
| A | 10 | 9 | 50 | 8 |
| B | 20 | 5 | 60 | 4 |
| C | 30 | 7 | 70 | 3 |
| D | 40 | 8 | 80 | 2 |
Concept: Construction of Index Numbers >> Weighted Aggregate Method
Given P01(M-E) = 120, `sum"p"_1"q"_1` = 300, `sum"p"_0"q"_0` = 120, `sum"p"_0"q"_1` = 320, Find P01(L)
Concept: Construction of Index Numbers >> Weighted Aggregate Method
Find the missing wage if the Cost of Living Index for the following data is 150.
| Group | Food | Clothing | Fuel and Lighting |
House Rent |
Miscellaneous |
| I | 200 | 150 | 140 | 100 | 120 |
| W | 6 | 4 | x | 3 | 4 |
Concept: Method of Constructing Cost of Living Index Numbers - Family Budget Method
The Cost of Living Index Numbers for years 2003 and 2008 are 150 and 200 respectively. A person earned ₹ 18,000 per month in year 2003. What should be his earning per month in year 2008, so as to maintain same standard of living as 2003?
Concept: Uses of Cost of Living Index Number
State whether the following statement is true or false:
Dorbish-Bowley's Price Index Number is the square root of the product of Laspeyre's and Paasche's Index Numbers.
Concept: Construction of Index Numbers >> Weighted Aggregate Method
If P01 (L) = 121, P01 (P) = 100, then P01 (F) = ______.
Concept: Construction of Index Numbers >> Weighted Aggregate Method
Calculate the cost of living index number for the following data by aggregative expenditure method:
| Group | Base year | Current year | |
| Price | Quantity | Price | |
| Food | 120 | 15 | 170 |
| Clothing | 150 | 20 | 190 |
| Fuel and lighting | 130 | 30 | 220 |
| House rent | 160 | 10 | 180 |
| Miscellaneous | 200 | 11 | 220 |
Concept: Method of Constructing Cost of Living Index Numbers - Aggregative Expenditure Method
The cost of living index number using Weighted Relative Method is given by ______.
Concept: Cost of Living Index Number
Choose the correct alternative:
The feasible region is
Concept: Linear Programming Problem (L.P.P.)
Choose the correct alternative:
The point at which the minimum value of Z = 8x + 12y subject to the constraints 2x + y ≥ 8, x + 2y ≥ 10, x ≥ 0, y ≥ 0 is obtained at the point
Concept: Mathematical Formulation of Linear Programming Problem
Choose the correct alternative:
The corner points of feasible region for the inequations, x + y ≤ 5, x + 2y ≤ 6, x ≥ 0, y ≥ 0 are
Concept: Mathematical Formulation of Linear Programming Problem
