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Nutka1998 [239]
3 years ago
12

Inventory records for Dunbar Incorporated revealed the following: Date Transaction Number of Units Unit Cost Apr. 1 Beginning in

ventory 490 $ 2.49 Apr. 20 Purchase 410 2.72 Dunbar sold 600 units of inventory during the month. Ending inventory assuming FIFO would be
Business
1 answer:
Drupady [299]3 years ago
3 0

Answer:

$816

Explanation:

Calculation for Dunbar Incorporated Ending inventory

Formula for Ending inventory units using FIFO method:

Ending inventory units = Beginning balance + Purchase -sales

Leg plug in the formula

490+410 - 600

= 300units

Calculation for Ending inventory

Ending inventory = 300*2.72

= $816

Therefore the Ending inventory assuming FIFO method is use would be $816

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Flo buys a Go! battery that, if used in a Hi-Digital music player, which can be powered only by an IntraChemico battery, may cau
vesna_86 [32]

Answer:

I didn't mean to tap on this

Explanation:

I don't know the answer

5 0
3 years ago
On October 1, 20X1, a company purchased a piece of land by agreeing to pay the seller $450,000 in two years. If the company had
erma4kov [3.2K]

Answer:

$378,756

Explanation;

The net present value of land will be =$450,000/1.09^2=$378,756

The land will be recorded in net present value of land by discounting the cost of land with interest rate of buying from the bank.

4 0
3 years ago
Pettit Ice Cream Company produces various ice cream products for which demand is highly seasonal. The company sells more ice cre
Rashid [163]

Answer:

a) Fixed costs = $22,000

b) $70,000

c) The high low cost method is generally inaccurate because it only considers the extremes, the highest and lowest costs and activity levels. Generally costs are not linear, but they might follow a certain tendency. The advantages of the high low cost method is that it is fairly accurate when costs are stable, plus it is much simpler to calculate.

d) Assuming that costs follow a certain tendency, regression analysis is much more exact since it analyses the relationship between different data and different variables. When you analyze only 2 variables, a linear regression analysis will serve you. but if you need to analyse more than two variables, then you must use a multiple regression analysis.

The R² statistic basically measures how one variable's variance is affected by other variables. E.g. if R² is 0.75, then 75% of the variance of A will be explained by the variance of B.

Explanation:

variable cost using high low cost method = (highest activity cost - lowest activity cost) / (highest activity level - lowest activity level) = ($82,000 - $46,000) / (50,000 - 20,000) = $36,000 / 30,000 gallons of ice cream = $1.20 per gallon of ice cream

fixed costs = $82,000 - (50,000 x $1.20) = $22,000

40,000 gallons

$22,000 + (40,000 x $1.20) = $70,000

how regression analysis improves accuracy of high low cost method

3 0
3 years ago
Punkeytown carries no insurance for possible claims and, as of January 1, 2019 (the start of its fiscal year), Punkeytown had no
Simora [160]

Answer: Will report a liability of $5000 for judgement debt and a claim of $11,000

Explanation:

The liability refers to the obligations of the firm which are certain is going to make payment as compensation.

The $5000 liability, although payment has not been made it's already Incurred by the company under the acural concept.

The claim of $11,000 is only probable and not certain even though amount and time of execution can be estimated, since it's not certain it will only be recorded as a claim in the goverments fund balance sheet.

4 0
3 years ago
Brandes purchases a delivery truck which will be used to deliver products to customers. the delivery truck is a/an?
frozen [14]

Electric bill payable Liability

<h3>Is an electric bill considered a liability?</h3>

In our example, the utility bills for gas and electricity used in December are both an expense and a liability as of December 31.

When the utility bills are paid, the liability is eliminated.

To learn more about liability, refer

to brainly.com/question/24553900

#SPJ4

7 0
1 year ago
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