Osage, Inc., manufactures and sells lamps. The company produces only when it receives orders and, therefore, has no inventories. The following information is available for the current month: Actual (based on actual orders for 450,000 units) Master Budget (based on budgeted orders for 480,000 units) Sales revenue $ 4,972,000 $ 4,800,000 Less Variable costs Materials 1,680,000 1,680,000 Direct labor 250,000 312,000 Variable overhead 675,900 624,000 Variable marketing and administrative 445,000 456,000 Total variable costs $ 3,050,900 $ 3,072,000 Contribution margin $ 1,921,100 $ 1,728,000 Less Fixed costs Manufacturing overhead 913,400 885,000 Marketing 281,000 281,000 Administrative 198,000 176,000 Total fixed costs $ 1,392,400 $ 1,342,000 Operating profits $ 528,700 $ 386,000 Required: Prepare a flexible budget for Osage, Inc.

Morgana company identifies three activities in its manufacturing process: machine setups, machining, and inspections. estimated annual overhead cost for each activity is $168,000, $315,900, an $97,200, respectively. the cost driver for each activity and the expected annual usage are number of setups 2,100, machine hours 24,300, and number of inspections 1,800. compute the overhead rate for each activity. machine setups $ per setup machining $ per machine hour inspections $ per inspection

Depreciation on the company's equipment for 2017 is computed to be $18,000.the prepaid insurance account had a $6,000 debit balance at december 31, 2017, before adjusting for the costs of any expired coverage. an analysis of the company's insurance policies showed that $1,100 of unexpired insurance coverage remains.the office supplies account had a $700 debit balance on december 31, 2016; and $3,480 of office supplies were purchased during the year. the december 31, 2017, physical count showed $300 of supplies available.two-thirds of the work related to $15,000 of cash received in advance was performed this period.the prepaid insurance account had a $6,800 debit balance at december 31, 2017, before adjusting for the costs of any expired coverage. an analysis of insurance policies showed that $5,800 of coverage had expired.wage expenses of $3,200 have been incurred but are not paid as of december 31, 2017.

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]