Blanchard Company manufactures a single product that sells for $120 per unit and whose total variable costs are $84 per unit. The company’s annual fixed costs are $627,000. The sales manager predicts that annual sales of the company’s product will soon reach 39,700 units and its price will increase to $197 per unit. According to the production manager, variable costs are expected to increase to $137 per unit, but fixed costs will remain at $627,000. The income tax rate is 35%. What amounts of pretax and after-tax income can the company expect to earn from these predicted changes? Prepare a forecasted contribution margin income statement.

Consider each of the following cases: case accounting break-even unit price unit variable cost fixed costs depreciation 1 127,400 $ 38 $ 25 $ 711,000 ? 2 124,000 ? 41 2,500,000 $ 900,000 3 5,753 117 ? 171,000 100,000 required: (a) find the depreciation for case 1. (do not round your intermediate calculations.) (b) find the unit price for case 2. (do not round your intermediate calculations.) (c) find the unit variable cost for case 3. (do not round your intermediate calculations.)

Which law would encourage more people to become homeowners but not encourage risky loans that could end in foreclosure? options: offering first time homebuyers tax-free accounts to save for down payments requiring all mortgages to be more affordable, interest-only loans outlawing home inspections and appraisals by mortgage companies limiting rent increases to less than 2% a year

One question from a survey was "how many credit cards do you currently have? " the results of the survey are provided. complete parts (a) through (g) below. click the icon to view the survey results. (a) determine the mean number of credit cards based on the raw data. the mean is 3.113.11 credit cards. (type an integer or a decimal. do not round.) (b) determine the standard deviation number of credit cards based on the raw data. the standard deviation is 1.9111.911 credit cards. (round to three decimal places as needed.) (c) determine a probability distribution for the random variable, x, the number of credit cards issued to an individual. x (# of cards) p(x) x (# of cards) p(x) 1 0.280.28 6 nothing 2 nothing 7 nothing 3 nothing 8 nothing 4 nothing 9 nothing 5 nothing 10 nothing (type integers or decimals. do not round.)