Which of the following modifications to the list of assets and liabilities below would result in a positive net worth?
home owned $105,000.
mortgage owed $100,000.
car valued at $26,000.
car loan of $22,000.
investment fund of $4,500.
savings of $1,500.
credit card balance of $15,000.
a.
lowering mortgage by $1,000.
b.
increasing investment fund by $500.
c.
adding $100 to savings.
d.
all of the above.

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.

Frost corporation incurred the following transactions during its first year of operations. (assume all transactions involve cash.) 1) acquired $1,900 of capital from the owners. 2) purchased $435 of direct raw materials. 3) used $290 of these direct raw materials in the production process. 4) paid production workers $490 cash. 5) paid $290 for manufacturing overhead (applied and actual overhead are the same). 6) started and completed 250 units of inventory. 7) sold 140 units at a price of $6 each. 8) paid $130 for selling and administrative expenses. the amount of raw material inventory on the balance sheet at the end of the accounting period would be:

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?