Blog

Which type of website is known for providing reliable, factual information and statistics?

What is the definition of primary sources?

What emotional benefit can come from writing about frustrations during the writing process?

What type of goals should a writer focus on according to the SMART goals framework?

Why is creating action plans vital after identifying weaknesses in writing?

What type of sentences contain at least one dependent clause and one independent clause?

Damon Industries manufactures 20,000 components per year. The manufacturing costs of the components was determined as follows:   Direct materials$ 100,000   Direct labor 160,000   Variable manufacturing overhead 60,000   Fixed manufacturing overhead 80,000  An outside supplier has offered to sell the component for $17. If Damon purchases the component from the outside supplier, the manufacturing facilities would be unused and could be rented out for $10,000. If Damon purchases the component from the supplier instead of manufacturing it, the effect on operating profits would be a:

The operations of Bridgeton Corporation are divided into the Adams Division and the Carter Division. Projections for the next year are as follows:   Adams DivisionCarter Division Total   Sales$ 560,000$ 336,000$ 896,000   Variable costs 196,000 154,000 350,000   Contribution margin$ 364,000$ 182,000$ 546,000   Direct fixed costs 168,000 140,000 308,000   Segment margin$ 196,000$ 42,000$ 238,000   Allocated common costs 84,000 63,000 147,000   Operating income (loss)$ 112,000$ (21,000)$ 91,000  Operating income for Bridgeton Corporation as a whole if the Carter Division were dropped would be:

At the break-even point, the total contribution margin equals total: (CPA adapted)

Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:  Month Machine HoursElectricity Costs   January 2,500$ 18,400   February 2,900 21,000   March 1,900 13,500   April 3,100 23,000   May 3,800 28,250   June 3,300 22,000   July 4,100 24,750   August 3,500 22,750   September 2,000 15,500   October 3,700 26,000   November 4,700 31,000   December 4,200 27,750    Summary Output   Regression Statistics   Multiple R 0.965   R Square 0.932   Adjusted R2 0.925   Standard Error 1,425.18   Observations 12.00      Coefficients Standard Error t Stat P-value Lower 95% Upper 95%   Intercept 3,726.88 1,682.82 2.21 0.05 (22.69) 7,476.45   Machine Hours 5.77 0.49 11.7 0.00 4.67 6.87  Based on the results of the regression analysis, the estimate of electricity costs in a month with 2,200 machine hours would be: (rounded to the nearest whole dollar)