If a company uses the balance sheet approach to estimate bad debt expense, bad debt expense for a period can be determined by: Multiple Choice a. Multiplying net credit sales by the bad debt experience ratio. b. Adding the beginning balance in the allowance for uncollectible accounts to the provision for uncollectible accounts and deducting the desired ending balance in the allowance for uncollectible accounts. c. Multiplying ending accounts receivable in each age category by the expected loss ratio for each age category. d. Taking the difference between the unadjusted balance in the allowance account and the desired balance of the allowance account.

Balance sheet the assets of dallas & associates consist entirely of current assets and net plant and equipment. the firm has total assets of $2 5 million and net plant and equipment equals $2 million. it has notes payable of $150,000, long-term debt of $750,000, and total common equity of $1 5 million. the firm does have accounts payable and accruals on its balance sheet. the firm only finances with debt and common equity, so it has no preferred stock on its balance sheet. a. what is the company's total debt? b. what is the amount of total liabilities and equity that appears on the firm's balance sheet? c. what is the balance of current assets on the firm's balance sheet? d. what is the balance of current liabilities on the firm's balance sheet? e. what is the amount of accounts payable and accruals on its balance sheet? [hint: consider this as a single line item on the firm's balance sheet.] f. what is the firm's net working capital? g. what is the firm's net operating working capital? h. what is the explanation for the difference in your answers to parts f and g?

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .

Jennifer purchased a house in a brand new development in the outskirts of town. when her house was built, the nearest fire department was nearly 20 miles away. as her neighborhood developed, the density of the community called for a new fire department 1.5 miles away. what effect will the new fire station have on her homeowners insurance premium? a. a new fire department will be more demanding on local taxes. her annual premium will go up. b. the location of a fire department has no bearing on the value of her house. her annual premium will stay the same. c. the new fire department will reduce the risk of financial loss in her home. her annual premium should decrease. d. with a fire department so close (less than 5 miles), financial risk on jennifer’s home practically disappears. she will not need to pay insurance anymore.