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1. Calculate the three-month moving averages from the following data: Jan. Feb. March April May June 57 65 63 72 69 78 July Aug. Sept.
1. Calculate the three-month moving averages from the following data:
Jan. | Feb. | March | April | May | June |
57 | 65 | 63 | 72 | 69 | 78 |
July | Aug. | Sept. | Oct | Nov. | Dec. |
82 | 81 | 90 | 92 | 95 | 97 |
[Osmania Univ., BCom, 1996] |
2. The following data provide a time series of the number of Commercial and Industrial units failures during the period 1989 2004.
Year | No. of Failures | Year | No. of Failures |
---|---|---|---|
1989 | 23 | 1997 | 9 |
1990 | 26 | 1998 | 13 |
1991 | 28 | 1999 | 11 |
1992 | 32 | 2000 | 14 |
1993 | 20 | 2001 | 12 |
1994 | 12 | 2002 | 9 |
1995 | 12 | 2003 | 3 |
1996 | 10 | 2004 | 1 |
Calculate a 5-year and 7-year moving average for the number of units failure.
3. In January, a city hotel predicted a February demand for 142 room occupancy. Actual February demand was 153 rooms. Using a smoothing constant of a = 0.20, forecast the March demand using the exponential smoothing model.
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