According to its form 10-k, hassell recorded bad debt expense of $110 and there were no bad debt recoveries during the current year. (hint: refer to the summary of the effects of accounting for bad debts on the accounts receivable (gross) and the allowance for doubtful accounts t-accounts. use the t-accounts to solve for the missing values.) required: 1. what amount of bad debts was written off during the current year? 2. based on your answer to requirement (1), solve for cash collected from customers for the current year, assuming that all of hassell’s sales during the period were on open account.

Jurvin enterprises is a manufacturing company that had no beginning inventories. a subset of the transactions that it recorded during a recent month is shown below. $76,700 in raw materials were purchased for cash. $71,400 in raw materials were used in production. of this amount, $66,300 was for direct materials and the remainder was for indirect materials. total labor wages of $151,700 were incurred and paid. of this amount, $134,300 was for direct labor and the remainder was for indirect labor. additional manufacturing overhead costs of $126,300 were incurred and paid. manufacturing overhead of $126,800 was applied to production using the company's predetermined overhead rate. all of the jobs in process at the end of the month were completed. all of the completed jobs were shipped to customers. any underapplied or overapplied overhead for the period was closed to cost of goods sold.required: 1. post the above transactions to t-accounts.2. determine the cost of goods sold for the period.

David consumes two things: gasoline (g) and bread (b). david's utility function is u(g, b) = 10g^0.25 b^0.75. use the lagrange technique to solve for david's optimal choices of gasoline and bread as a function of the price of gasoline, p_g, the price of bread, p_b, and his income m. with recent decrease in the price of gasoline (maybe due to external shock such as shale gas production) does david increase his consumption of gasoline? for david, how does partial differential g/partial differential p_g depend on his income m? that is, how does david's change in gasoline consumption due to an increase in the price of gasoline depend on his income level? to answer these questions, find the cross-partial derivative, |partial differential^2 g/partial differential m partial differential p_g.

How do the percentages of the 65 customer satisfaction ratings in that actually fall into the intervals [formula62.mml ± s], [formula62.mml ± 2s], and [formula62.mml ± 3s] compare to those given by the empirical rule? do these comparisons indicate that the statistical inferences you made in parts b and c are reasonably valid? (round your answers to the nearest whole number. omit the "%" sign in your