When conducting a SWOT analysis, information about turnover, profit margins, and staff quality can be used to identify: Company opportunities and threats Environmental strengths and weaknesses Company strengths and weaknesses Environmental opportunities and threats

Miko willingly admits that she is not an accountant by training. she is concerned that her balance sheet might not be correct. she has provided you with the following additional information. 1. the boat actually belongs to miko, not to skysong, inc.. however, because she thinks she might take customers out on the boat occasionally, she decided to list it as an asset of the company. to be consistent, she also listed as a liability of the corporation her personal loan that she took out at the bank to buy the boat. 2. the inventory was originally purchased for $27,500, but due to a surge in demand miko now thinks she could sell it for $39,600. she thought it would be best to record it at $39,600. 3. included in the accounts receivable balance is $11,000 that miko loaned to her brother 5 years ago. miko included this in the receivables of skysong, inc. so she wouldn’t forget that her brother owes her money. (b) provide a corrected balance sheet for skysong, inc.. (hint: to get the balance sheet to balance, adjust stockholders’ equity.) (list assets in order of liquidity.)

Exercise 7-7 martinez company reports the following financial information before adjustments. dr. cr. accounts receivable $168,900 allowance for doubtful accounts $3,200 sales revenue (all on credit) 849,300 sales returns and allowances 50,440 prepare the journal entry to record bad debt expense assuming martinez company estimates bad debts at (a) 4% of accounts receivable and (b) 4% of accounts receivable but allowance for doubtful accounts had a $1,550 debit balance. (if no entry is required, select "no entry" for the account titles and enter 0 for the amounts. credit account titles are automatically indented when the amount is entered. do not indent manually.)

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?