You've signed up for an exciting two-day workshop on small business web design. what can you do in advance that will you network effectively at the meeting? a. study up on the jargon so you'll sound informed. b. talk to your friends about the event, so you're energized when the day arrives. c. make sure your cassette recorder has batteries so you can record the sessions and listen to them later. d. do research on the instructors and panel members so you can talk to them about their work.

Analyzing and computing accrued warranty liability and expense waymire company sells a motor that carries a 60-day unconditional warranty against product failure. from prior years' experience, waymire estimates that 2% of units sold each period will require repair at an average cost of $100 per unit. during the current period, waymire sold 69,000 units and repaired 1,000 units. (a) how much warranty expense must waymire report in its current period income statement? (b) what warranty liability related to current period sales will waymire report on its current period-end balance sheet? (hint: remember that some units were repaired in the current period.) (c) what analysis issues must we consider with respect to reported warranty liabilities?

Aaron corporation, which has only one product, has provided the following data concerning its most recent month of operations: selling price $ 102 units in beginning inventory 0 units produced 4,900 units sold 4,260 units in ending inventory 640 variable costs per unit: direct materials $ 20 direct labor $ 41 variable manufacturing overhead $ 5 variable selling and administrative expense $ 4 fixed costs: fixed manufacturing overhead $ 64,200 fixed selling and administrative expense $ 2,900 the total contribution margin for the month under variable costing is:

Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?