Answer:
Depreciation expense= $7,612.5
Explanation:
Giving the following information:
Purchase price= $66,000
Salvage value= $5,100
Useful life= 8 years
<u>First, we need to determine the depreciation expense for the whole year. We will use the following formula:</u>
<u></u>
Annual depreciation= 2*[(book value)/estimated life (years)]
Annual depreciation= 2*[(66,000 - 5,100) / 8]
Annual depreciation= $15,225
<u>For 2020:</u>
Depreciation expense= (15,225/12)*6= $7,612.5
Retail Banks. The majority of people are the most familiar with retail banks, as they are aimed primarily at consumers. ...
Commercial Banks. Commercial banks service primarily individuals and small businesses. ...
Central Banks. ...
Cooperative or Mutual Banks. ...
Investment Banks. ...
Private Banks. ...
Online Banks. ...
Credit Unions.
Answer:
The explanation and solution of this question is given below in explanation section.
Explanation:
The correct option of this question is :
The broker’s escrow trust account.
This method mostly used in freelancing. Upwork is one of the freelancing websites. It uses escrow trust account where potential buyer deposit the down payment and this deposit payment will be released to a potential client as he completes the contract with the buyer.
Why other options are not correct.
The amount does not directly deposited in the seller's bank account. because it is chances that the seller either will not work or complete the work and take the money away.
A salesperson bank account is also an incorrect option.
Answer: D. 500
Explanation:
The Economic Order Quantity (EOQ) refers to an efficient number of units that a company should order to minimize the total costs of inventory such as holding costs, order costs, and shortage costs.
It is calculated by the formula below,
EOQ = √ (2 * Annual demand * Ordering Cost / Holding Cost)
EOQ = √ (2 * 5,000 * 250 /10)
EOQ = 500 units.
The economic ordering quantity (EOQ) for this item is 500 units.
Answer:
A. Histogram
Explanation:
Histogram is nothing but the diagram formed of rectangles in a graphical form representing the distribution of numerical data. The strength of histogram is that the picture of location and variation of data set can be read easily as the individual data are grouped together to give clear picture of occurrence of frequency data in each class in the data set.