The average month end closing stock price for company a over the past year is $34.57 with a standard deviation of $4.65. the average month end closing stock price for company b over the same period is $26.15 with a standard deviation of $7.45. based on this data, we can conclude that the stock price for company a is more consistent when compared to the stock price for company b.

The following cost data relate to the manufacturing activities of chang company during the just completed year: manufacturing overhead costs incurred: indirect materials $ 15,800 indirect labor 138,000 property taxes, factory 8,800 utilities, factory 78,000 depreciation, factory 150,600 insurance, factory 10,800 total actual manufacturing overhead costs incurred $ 402,000 other costs incurred: purchases of raw materials (both direct and indirect) $ 408,000 direct labor cost $ 68,000 inventories: raw materials, beginning $ 20,800 raw materials, ending $ 30,800 work in process, beginning $ 40,800 work in process, ending $ 70,800 the company uses a predetermined overhead rate of $20 per machine-hour to apply overhead cost to jobs. a total of 20,500 machine-hours were used during the year. required: 1. compute the amount of underapplied or overapplied overhead cost for the year. 2. prepare a schedule of cost of goods manufactured for the year.

Forecasting as a first step in the team’s decision making, it wants to forecast quarterly demand for each of the two types of containers for years 6 to 8. based on historical trends, demand is expected to continue to grow until year 8, after which it is expected to plateau. julie must select the appropriate forecasting method and estimate the likely forecast error. which method should she choose? why? using the method selected, forecast demand for years 6 to 8.

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]