The condensed financial statements of Ness Company for the years 2016 and 2017 are presented below. NESS COMPANY Balance Sheets December 31 (in thousands) 2017 2016 Current assets Cash and cash equivalents $330 $360 Accounts receivable (net) 470 400 Inventory 460 390 Prepaid expenses 130 160 Total current assets 1,390 1,310 Property, plant, and equipment (net) 410 380 Investments 10 10 Intangibles and other assets 530 510 Total assets $2,340 $2,210 Current liabilities $820 $790 Long-term liabilities 480 380 Stockholders’ equity—common 1,040 1,040 Total liabilities and stockholders’ equity $2,340 $2,210 Compute the following ratios for 2017 and 2016.

The market for corn in country a is highly competitive. at the current market price of $5/bushel there is a shortage of 100,000 bushels of corn in this country. media reports claim that the price of corn will rise drastically in the near future. according to these reports, the neighboring country b had witnessed a similar situation recently. at the same price, the shortage in country b was also 100,000 bushels and eventually the equilibrium price in b went up to $10/bushel. both countries are known to have equal number of corn producers and the market supply of corn is identical at all prices. this, combined with the fact that consumers in the two countries also have similar tastes and preferences, led the media to conclude that the price of corn in country a would soon be as high as $10/bushel. the new equilibrium price turns out to be below $10/bushel, what inferences can be drawn?

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 .

A.j. was a newly hired attorney for idle time gaming, inc. even though he reported directly to the president of the company, a.j. noticed that the president always had time to converse with the director of sales, calling on him to get a pulse on legal/regulatory issues that, as the company attorney, a.j. could have probably handled. a.j. also noted that the hr manager’s administrative assistant was the go-to person for a number of things that would make life easier at work. a.j. was recognizing the culture at idle time gaming.