On January 1, 2017, Accounts Receivable and Allowance for Uncollectible Accounts for Darius Company carried balances of $20,000 and $550, respectively. During the year, the company reported $70,000 of credit sales. There were $400 of receivables written off as uncollectible in 2017. Cash collections of receivables amounted to $74,700. The company estimates that it will be unable to collect 5% of the year-end accounts receivable balance. The amount of bad debts expense recognized in the 2017 income statement will be: :
(A) $545
(B) $595
(C) $745
(D) $795

Peninsula products has just applied for a loan at your bank. when reviewing peninsula's books for the year that just ended, you notice that the firm uses the fair value option for its bonds payable. you also see that the firm recorded a $55,000 debit in its bonds payable account and a $55,000 credit in its unrealized holding gain or loss"income account. over that same period, interest rates decreased by about 0.5 percent. how should this information affect the bank's decision as to whether to grant peninsula a loan? a : the bank should strongly consider giving a loan to peninsula because the changes in firm's bonds payable and unrealized holding gain or loss"income accounts suggest that peninsula has seen an increase in its credit rating over the past year. b : the bank should put little emphasis on the changes in peninsula's bonds payable and unrealized holding gain or loss"income accounts because these changes are likely the result of the rise in interest rates. c : the bank should hesitate before giving a loan to peninsula because the changes in firm's bonds payable and unrealized holding gain or loss"income accounts suggest that peninsula has seen a decline in its credit rating over the past year. d : the bank should put little emphasis on the changes in peninsula's bonds payable and unrealized holding gain or loss"income accounts because these changes are likely unrelated to either interest rates or the firm's credit rating.

Ajustification for job training programs is that they improve worker productivity. suppose that you are asked to evaluate whether more job training makes workers more productive. however, rather than having data on individual workers, you have access to data on manufacturing firms in ohio. in particu- lar, for each firm, you have information on hours of job training per worker (training) and number of nondefective items produced per worker hour (output). (i) carefully state the ceteris paribus thought experiment underlying this policy question. (ii) does it seem likely that a firm’s decision to train its workers will be independent of worker characteristics? what are some of those measurable and unmeasurable worker characteristics? (iii) name a factor other than worker characteristics that can affect worker productivity. (iv) if you find a positive correlation between output and training, would you have convincingly established that job training makes workers more productive? explain.

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 .