Assume that in a private, closed economy consumption is $240 billion and investment is $50 billion, both at the $280 billion level of domestic output. thus: a. saving is $10 billion. b. unplanned decreases in inventories of $10 billion will occur. c. the mpc is .80. d. unplanned increases in inventories of $10 billion will occur.

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Required information [the following information applies to the questions displayed below.] the following data is provided for garcon company and pepper company. garcon company pepper company beginning finished goods inventory $ 13,800 $ 18,850 beginning work in process inventory 16,700 20,700 beginning raw materials inventory 8,800 13,500 rental cost on factory equipment 28,250 26,650 direct labor 22,400 37,400 ending finished goods inventory 17,300 14,300 ending work in process inventory 23,200 19,400 ending raw materials inventory 5,900 9,600 factory utilities 11,250 15,000 factory supplies used 10,900 5,700 general and administrative expenses 32,500 44,500 indirect labor 2,500 9,880 repairs—factory equipment 4,820 2,150 raw materials purchases 41,500 63,000 selling expenses 54,800 49,000 sales 238,530 317,510 cash 33,000 23,700 factory equipment, net 222,500 124,825 accounts receivable, net 13,400 23,950 required: 1. complete the table to find the cost of goods manufactured for both garcon company and pepper company for the year ended december 31, 2017. 2. complete the table to calculate the cost of goods sold for both garcon company and pepper company for the year ended december 31, 2017.

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .