Marginal revenue: A) is the slope of the average revenue curve. B) equals the market price in perfect competition. C) is the change in quantity divided by the change in total revenue.

The following extract was taken from the worksheet of special events bakers for the year 2019. special events bakers worksheet december 31, 2019 account names cash equipment accumulated depreciation minus− equipment unadjusted trial balance debit credit $ 6 comma 800$6,800 15 comma 20015,200 $ 8 comma 500$8,500 adjusted trial balance debit credit $ 6 comma 800$6,800 15 comma 20015,200 $ 10 comma 000$10,000 for the above information, determine the amount of depreciation expense for the equipment used in the business

Monica needs to assess the slide sequence and make quick changes to it. which view should she use in her presentation program? a. outline b. slide show c. slide sorter d. notes page e. handout

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 .