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MrRa [10]
2 years ago
14

assume a company uses the weighted average method in its processing costing august 1 balance 62000 and materials 310,000 consist

ed of 6000 units with 40500 in materials during august 48000 units were installed into production consisted of 8000 units that were 100% with respect to mateirals the materials cost included in the refining departement ending work in process inventory is closest to
Business
1 answer:
gayaneshka [121]2 years ago
6 0

Answer:

see explanation

Explanation:

<em>Hi, your question is incomplete, I tried to look for it online but I could not find it. Here is an explanation on the steps to solve the problem.</em>

Step 1 : Determine the Total Materials Cost

Total Materials Cost

Opening WIP cost                                      $310,000

Costs added during the period                  $40500

Total                                                           $350,500

Step 2 : Total Equivalent units for materials

Equivalent units for materials = Completed units + Equivalent units in ending work in process inventory.

Step 3 : Unit equivalent cost for materials

Unit equivalent cost = Total Cost ÷ Total equivalent units

Step 4 : ending work in process inventory cost

Ending work in process inventory = Unit equivalent cost x equivalent units in ending work in process with respect to materials

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3 years ago
Automobile repair costs continue to rise with the average cost now at $367 per repair.† Assume that the cost for an automobile r
vovikov84 [41]

Answer:

a)  0.1728

b)  0.09183

c) 0.7354

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Explanation:

Given

mean = \mu = $367

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Cost of automobile repair is normally distributed.

a) We have to find P( x > 450 )

P( x > 450 ) = 1 - P( x <= 450 )

Using excel function,   P( x <= x ) = NORMDIST (x,  \mu, \sigma, 1 )

P( x > 450 )   = 1 - NORMDIST( 450 , 367, 88, 1 )

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b)  P( x < 250 ) = NORMDIST( 250 , 367, 88, 1 ) = 0.09183

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c) P( 250 < x < 450 ) = P( x <450 ) - P( x < 250 )

P( x <450 ) = NORMDIST( 450 , 367, 88, 1 ) = 0.8272

P( x < 250 ) = NORMDIST( 250 , 367, 88, 1 ) = 0.09183

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P( 250 < x < 450 ) = 0.7354

d) We have P( X < a ) = 0.05

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8 0
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Nookie1986 [14]

Answer:

TRUE

Explanation:

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