Being able to calculate a healthy margin analysis will the research & development department understand how to change the cost of material, and the production department understand how to change the cost of labor. you will need: the production analysis report (page 4) of the fasttrack for round 0 the segment analysis reports (pages 5-6) of the fasttrack for round 0 determining current margin * the above product details are for example only. your product names and data may differ, but the process to calculate margins is identical.

The plastic flowerpots company has two manufacturing departments, molding and packaging. at the beginning of the month, the molding department has 2,100 units in inventory, 70% complete as to materials. during the month, the molding department started 18,500 units. at the end of the month, the molding department had 3,150 units in ending inventory, 80% complete as to materials. units completed in the molding department are transferred into the packaging department. cost information for the molding department for the month follows: beginning work in process inventory (direct materials) $ 1,300 direct materials added during the month 28,900 using the weighted-average method, compute the molding department's (a) equivalent units of production for materials and (b) cost per equivalent unit of production for materials for the month. (round "cost per equivalent unit of production" to 2 decimal places.)

For many years, kellogg's frosted flakes, a ready-to-eat breakfast cereal, was perceived as a cereal for children. tony the tiger, a cartoon character, extolled frosted flakes, and advertisements depicted children enjoying the product with tony in competitive situations. recently, in response to declining sales of frosted flakes, the cereal maker has adopted a new series of advertisements that show adults admitting that they enjoy frosted flakes, too. kellogg's is attempting to

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]