In your group (maximum of four members), complete the following: 1) Choose a product of your own design or one with which you are familiar, which would be affected by the dynamics of a market economy.
2) Make up four clearly stated headlines describing events which would result in a shift in demand using the four factors listed below. Draw a separate graph for each headline.
3) Do the same for the four factors resulting in a shift in supply listed below. Again, drawing a separate graph for each headline

Uppose stanley's office supply purchases 50,000 boxes of pens every year. ordering costs are $100 per order and carrying costs are $0.40 per box. moreover, management has determined that the eoq is 5,000 boxes. the vendor now offers a quantity discount of $0.20 per box if the company buys pens in order sizes of 10,000 boxes. determine the before-tax benefit or loss of accepting the quantity discount. (assume the carrying cost remains at $0.40 per box whether or not the discount is taken.)

Need with my trade theory homework. i doubt what i wrote was right. consider a monopolistically competitive market for soft drinks in which n symmetric firms face the following demand function: q=s(1/n-b(p-(p with the straight line on which implies the marginal revenue functionmr=p-(q/sb)finally, suppose firms face the total cost functiontc=900,000+100qsuppose the market size, s, is 27,000,000, and the elasticity parameter b is 0.003.diagram the price and the average total cost in the market as a function of the number of firms. what are the equations for each curve, and why does each curve slope up or down? label the equilibrium number of firms and the equilibrium price in the diagram. why is this the equilibrium?

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 .