Answer: Option (B) is correct.
Explanation:
The three limitations to balance sheets are as follow:
1.) Assets are being noted or stored at a historical cost,
2.) There is a thorough use of the estimates,
3.) There's also omission of several precious non-monetary assets.
Therefore from the given options, we can state that the key limitation of using a balance sheets under the constraints of financial analysis is that different items in a balance sheet are or may be evaluated differently.
Answer:
b. When using ABC for service industries, special methods must be used to identify cost pools and cost drivers due to the unique nature of the services offered.
Explanation:
The cost pool method are the same we should look for activities which add value to the product to provide a more accurate product costing.
In cases of services the company will also determinate activities considering this premise therefore, there is no especial nature to offer to the client.
Answer:
a) attached below
b) P( profit ) = TR(q) - TC(q)
c) attached below
d) -$5000 ( loss )
Explanation:
Given data:
Fixed Cost = $10,000
Material cost per unit = $0.15
Labor cost per unit = $0.10
Revenue per unit = $0.65
<u>a) Influence diagram to calculate profit </u>
attached below
<u>b) derive a mathematical model for calculating profit.</u>
VC = variable cost per unit , LC = per unit labor cost , MC = per unit marginal cost, TC = Total cost of manufacturing , FC = Fixed cost, q = quantity, TR = Total revenue, R = revenue per unit
VC = LC + MC
TC (q) = FC + ( VC * q )
TR (q) = R * q
P( profit ) = TR(q) - TC(q) ------------ ( 1 )
c) attached below
<u>d) If Cox Electrics makes 12,000 units of the new product </u>
The resulting profit = -$5000
q = 12
P = TR ( q ) - TC ( q )
= ( R * q ) - ( Fc + ( Vc * q ) )
= ( 0.65 * 12000 ) - ( 10,000 + ( 0.25 * 12000 )
= -$5200
Answer: direct and indirect
Explanation:
Right on Plato
The distribution organizes data by recording all the values observed in a sample as well as how many times each value was observed.
Data distribution is a function that provides all possible values of a variable and also quantifies their relative frequencies (probabilities of how often they occur). Distributions are considered for all populations in which the data are spread out. Another example is a pie chart showing the percentages of different substances that make up the complete object.
We divided the distributions into two categories, depending on the type of organizes data you are using. Discrete distributions for discrete data (finite results) and continuous distributions for continuous data (infinite results).
Learn more about organizes data at
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