How do businesses compete for customers?

Presented below is a list of possible transactions. analyze the effect of the 18 transactions on the financial statement categories indicated. transactions assets liabilities owners’ equity net income 1. purchased inventory for $80,000 on account (assume perpetual system is used). 2. issued an $80,000 note payable in payment on account (see item 1 above). 3. recorded accrued interest on the note from item 2 above. 4. borrowed $100,000 from the bank by signing a 6-month, $112,000, zero-interest-bearing note. 5. recognized 4 months’ interest expense on the note from item 4 above. 6. recorded cash sales of $75,260, which includes 6% sales tax. 7. recorded wage expense of $35,000. the cash paid was $25,000; the difference was due to various amounts withheld. 8. recorded employer’s payroll taxes. 9. accrued accumulated vacation pay. 10. recorded an asset retirement obligation. 11. recorded bonuses due to employees. 12. recorded a contingent loss on a lawsuit that the company will probably lose. 13. accrued warranty expense (assume expense warranty approach). 14. paid warranty costs that were accrued in item 13 above. 15. recorded sales of product and related service-type warranties. 16. paid warranty costs under contracts from item 15 above. 17. recognized warranty revenue (see item 15 above). 18. recorded estimated liability for premium claims outstanding.

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?

Jimmy's delicatessen sells large tins of tom tucker's toffee. the deli uses a periodic review system, checking inventory levels every 88 days, at which time an order is placed for more tins. order lead time is 22 days. daily demand is a constant 1515 tins, so average demand during the reorder period and order lead time (1010 days) is 150150 tins. draw a sawtooth diagram. assume that the beginning inventory level is equal to the restocking level and the desired service level is 99.9%. what is the safety stock level? (hint: look at the formula for calculating restocking level.) what is the average inventory level? the safety stock level is average inventory level is __chart: time (10,20,30), tins (0,150) lines touching both axisthe safety stock level is 0 tinsthe average inventory level is 75 tins