A company incurs $4,050,000 of overhead each year in three departments: Ordering and Receiving, Mixing, and Testing. The company prepares 2,000 purchase orders, works 50,000 mixing hours, and performs 1,500 tests per year in producing 200,000 drums of Goo and 600,000 drums of Slime. The following data are available: Production information for Slime is as follows: Compute the amount of overhead assigned to Slime. a) $3,037,500
b) $2,025,000
c) $2,760,000
d) $2,467,851

Salaries are $4,500 per week for five working days and are paid weekly at the end of the day fridays. the end of the month falls on a thursday. the accountant for dayton company made the appropriate accrual adjustment and posted it to the ledger. the balance of salaries payable, as shown on the adjusted trial balance, will be a (assume that there was no beginning balance in the salaries payable account.)

In 2018, laureen is currently single. she paid $2,800 of qualified tuition and related expenses for each of her twin daughters sheri and meri to attend state university as freshmen ($2,800 each for a total of $5,600). sheri and meri qualify as laureen’s dependents. laureen also paid $1,900 for her son ryan’s (also laureen’s dependent) tuition and related expenses to attend his junior year at state university. finally, laureen paid $1,200 for herself to attend seminars at a community college to her improve her job skills.what is the maximum amount of education credits laureen can claim for these expenditures in each of the following alternative scenarios? a. laureen's agi is $45,000.b. laureen’s agi is $95,000.c. laureen’s agi is $45,000 and laureen paid $12,000 (not $1,900) for ryan to attend graduate school (i.e, his fifth year, not his junior year).

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?