Afamily is considering a move from a midwestern city to a city in california. the distribution of housing costs where the family currently lives is normal with mean $105,000 and standard deviation $18,200. the distribution of housing costs in the california city is normal with mean $235,000 and standard deviation $30,400. the family's current house is valued at $110,000.

Following is stanley black & decker’s income statement for 2016 (in millions): stanley black & decker, inc. income statement for the year ended december 31, 2016 ($ millions) sales $11,406.9 cost of goods sold 7,139.7 gross profit $ 4,267.2 selling, general and administrative expenses 2,602.0 other operating expenses 268.2 operating income 1,397.0 interest and other nonoperating expenses 171.3 income before income tax 1,225.7 income tax expense 261.2 net income $ 964.5 compute stanley black & decker’s gross profit margin.

Shelby company produces three products: product x, product y, and product z. data concerning the three products follow (per unit): product x product y product z selling price $ 85 $ 65 $ 75 variable expenses: direct materials 25.50 19.50 5.25 labor and overhead 25.50 29.25 47.25 total variable expenses 51.00 48.75 52.50 contribution margin $ 34.00 $ 16.25 $ 22.50 contribution margin ratio 40 % 25 % 30 % demand for the company’s products is very strong, with far more orders each month than the company can produce with the available raw materials. the same material is used in each product. the material costs $8 per pound, with a maximum of 4,400 pounds available each month. required: a. compute contribution margin per pound of materials used. (round your intermediate calculations and final answers to 2 decimal places.) contribution margin per pound product x $ product y $ product z $ b. which orders would you advise the company to accept first, those for product x, for product y, or for product z? which orders second? third? product x product y product z

Amanager of a store that sells and installs spas wants to prepare a forecast for january and june of next year. her forecasts are a combination of trend and seasonality. she uses the following equation to estimate the trend component of monthly demand: ft = 30+5t, where t = 1 in january of this year. seasonal relatives are 0.60 for january and 1.50 for june. what demands should she predict for january and june of next year