Mm co. predicts sales of $30,000 for may. mm co. pays a sales manager a monthly salary of $3,000 plus a commission of 6% of sales dollars. mm’s production manager recently found a way to reduce the amount of packaging mm uses. as a result, mm’s product will receive better placement on store shelves and thus may sales are predicted to increase by 8%. in addition, mm’s shipping costs are predicted to decrease from 4% of sales to 3% of sales.

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a manufacturer of printed circuit boards uses exponential smoothing with trend to forecast monthly demand of its product. at the end of december, the company wishes to forecast sales for january. the estimate of trend through november has been 200 additional boards sold per month. average sales have been around 1000 units per month. the demand for december was 1100 units. the company uses α = 0.20 and β = 0.10. make a forecast including trend for the month of january.

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"we first find value of tax in dollars.

the difference between the two prices   is: 23. 54 - 22 = 1.54

therefore the sales tax in dollars is 1.54

the tax % will be   (amount of tax / original cost price ) × 100

(1.54 / 22) × 100  → (0.07) × 100 =   7

so the tax rate is 7%

we can double check the answer.

7 % of 22   → (7/100) × 22 → 0.07 × 22 = 1.54

22 + 1.54 = 23.54"