Question at position 22 ONLY SUBMIT NUMBER ANSWERS (NO TEXT) Compute the sales forecast for the month of January using the 5-month simple moving average forecasting technique and the following data: Monthly sales for the RUOK Company for the last 6 months are as follows: [table]
Month | Units July | 135000 August | 165000 September | 120000 October | 135000 November | 150000 December | 180000
[/table]AnswerONLY SUBMIT NUMBER ANSWERS (NO TEXT) Compute the sales forecast for the month of January using the 5-month simple moving average forecasting technique and the following data: Monthly sales for the RUOK Company for the last 6 months are as follows: [table]
Month | Units July | 135000 August | 165000 September | 120000 October | 135000 November | 150000 December | 180000
[/table][input]

Question

BlackTom AI · Accepted Answer

The question asks for the January forecast using a 5-month simple moving average based on the last 6 months of data. To compute a 5-month moving average for January, we average the five months immediately preceding January: August, September, October, November, and December.

Values: August 165,000; September 120,000; October 135,000; November 150,000; December 180,000.
Sum = 165000 + 120000 + 135000 + 150000 + 180000 = 750000.
Average (5 months) = 750000 / 5 = 150000.

So, the forecast for January using the 5-month simple moving average is 150,000 units.

Note on data/input: The provided data table lists the six months (July through December). For a 5-month SMA to forecast January, we correctly exclude July and use the five months immediately preceding January (Aug–Dec). The problem statement’s instruction to submit a number and the given answer (150000) align with this calculation. If there were multiple-choice options, one would select the option showing 150,000; since the options are not provided here, the essential calculation steps are shown above for verification.

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