Answer:
1. $3,380
2. $2,175
Explanation:
Part 1
Predetermined overhead rate = Total Overheads for the Company ÷ Total Direct labor-hours for the Company
= $ 15,080,000 ÷ 232,000
= $65
Overheads applied to Job Bravo = ( 30 x $65) + (22 x $65) = $3,380
Part 2
<em>Assembly department</em>
Predetermined overhead rate = $ 7,250,000 ÷ 145,000
= $50
<em>Assembly department</em>
Predetermined overhead rate = $ 7,830,000 ÷ 290,000
= $27
Overheads applied to Job Bravo = (30 x $50) + (25 x $27) = $2,175
Answer: Reduce output
Explanation:
According to the given question, the barrel O' Biscuits is one of the type of perfectly competitive organization in which its overall marginal cost increasing the company's marginal revenue.
For maximizing the profit of an organization then we should reduce the output as in the perfect competition the company majorly affected the output only and for shift the overall marginal cost of the company we reducing the output.
Therefore, Reduce output is the correct answer.
Answer:
In 2017
Net Income and Retained Earning are overstated by $100,000
Expenses and Payables are understated by $100,000.
In 2018
Inventory, Net Income and Retained Earning are understated by $57,000
Expenses are overstates by $57,000
Explanation:
Accrued Salaries is Recorded as follow
Dr. Salaries Expense
Cr. Salaries Payament
Non recording of this entry will result in understatement of Expenses and Payables by $100,000 over statement of Net income and retained earning by the same amount.
Treatment of Office supplies of $57,000 as expense will overstate the expenses and understate the the inventory, Net income and Retained Earning.
People can make poor investments, fail to add to their savings, and decide to spend their money rather than saving or investing.
Somebody whose job is to provide analytics or research should always be someone who is very good at quantitative analysis. They should be good with math and numbers, because their job is to analyze a business. The same goes for research. A good researcher is good at math because they have to analyze large datasets. This person would also be pretty detail-oriented because they need to make sure that they are not making small mistakes, as small mistakes could result in poor decisions that come out of their analysis.
Does that make sense?
