Quilcene oysteria farms and sells oysters in the pacific northwest. the company harvested and sold 7,600 pounds of oysters in august. the company’s flexible budget for august appears below: quilcene oysteria flexible budget for the month ended august 31 actual pounds (q) 7,600 revenue ($4.10q) $ 31,160 expenses: packing supplies ($0.40q) 3,040 oyster bed maintenance ($3,000) 3,000 wages and salaries ($2,400 $0.45q) 5,820 shipping ($0.70q) 5,320 utilities ($1,250) 1,250 other ($410 $0.01q) 486 total expense 18,916 net operating income $ 12,244 the actual results for august appear below: quilcene oysteria income statement for the month ended august 31 actual pounds 7,600 revenue $ 27,400 expenses: packing supplies 3,210 oyster bed maintenance 2,860 wages and salaries 6,230 shipping 5,050 utilities 1,060 other 1,106 total expense 19,516 net operating income $ 7,884 required: calculate the company’s revenue and spending variances for august

Before contacting the news or print media about your business, what must you come up with first ? a. a media expertb. a big budgetc. a track recordd. a story angle

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 .

Consider the following information on stocks a, b, c and their returns (in decimals) in each state: state prob. of state a b c boom 20% 0.27 0.22 0.16 good 45% 0.16 0.09 0.07 poor 25% 0.03 0 0.03 bust 10% -0.08 -0.04 -0.02 if your portfolio is invested 25% in a, 40% in b, and 35% in c, what is the standard deviation of the portfolio in percent? answer to two decimals, carry intermediate calcs. to at least four decimals.