Carr company is considering two capital investment proposals. estimates regarding each project are provided below:

project soup project nuts
initial investment $400,000 $600,000
annual net income 30,000 46,000
net annual cash inflow 110,000 146,000
estimated useful life 5 years 6 years
salvage value -0- -0-
the company requires a 10% rate of return on all new investments.

present value of an annuity of 1
periods 9% 10% 11% 12%
5 3.890 3.791 3.696 3.605
6 4.486 4.355 4.231 4.111
the annual rate of return for project soup is

7.5%.

27.5%.

55%.

15.0%.

Xyz corporation has provided the following data concerning manufacturing overhead for july: actual manufacturing overhead incurred $ 69,000 manufacturing overhead applied to work in process $ 79,000 the company's cost of goods sold was $243,000 prior to closing out its manufacturing overhead account. the company closes out its manufacturing overhead account to cost of goods sold. which of the following statements is true? multiple choice manufacturing overhead was overapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $253,000 manufacturing overhead was underapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $233,000 manufacturing overhead was underapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $253,000 manufacturing overhead was overapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $233,000

Suppose that in an economy the structural unemployment rate is 2.2 percent, the natural unemployment rate is 5.3 percent, and the cyclical unemployment rate is 2 percent. the frictional unemployment rate is percent and the actual unemployment rate (in this economy) is percent.

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]