Answer:
a. The probability that any one customers service costs will exceed the contract price of $200 is 0.0228
b. Warda expected profit per service contract is $50
Explanation:
a. In order to calculate the probability that any one customers service costs will exceed the contract price of $200 we would have to calculate first the z value as follows:
z=x-μ/σ
z=$200-$150/$25
z=2
Therefore, probability that any one customers service costs will exceed the contract price of $200 is p(x>$200)=p(z>2)
=1-p(z≤2)
=1-0.9772
=0.0228
The probability that any one customers service costs will exceed the contract price of $200 is 0.0228
b. To calculate Warda expected profit per service contract we would have to make the following calculation:
Warda expected profit per service contract=service charge per contract-expected cost
Warda expected profit per service contract=$200-$150
Warda expected profit per service contract=$50
Warda expected profit per service contract is $50
Answer:
The depreciation cost of the bus per unit is $ 1.4 which is purchased on January 1, 2019.
Explanation:
The depreciation cost per unit is computed as:
Depreciable asset = Cost - Salvage Value
= $205,860 - $7,900
= $197,960
Depreciation per unit = Depreciable asset /Useful life expected value
= $197,960 / 141,400
= $1.4
Therefore, the per unit cost is $1.4
Answer:
I believe the best and most correct answer is A.)
Explanation:
Answer:<em> The correct option in this case is (c).</em><u><em> i.e. Economic profits induce firms to enter an industry and losses encourage firms to leave</em></u>
Economic profits is the difference between total revenues and total costs excluding opportunity cost.
For a instance when a firm generates economy profits then in that scenario it will be profitable to continue and expand .
Answer:
The correct answer is B) Buyer Intentions Method also known as <em>Consumers' Buyer Plan.</em>
Explanation:
This plan involves approaching customers to elicit information from them about their likelihood to make purchases during a particular period. It is most effective when the number of customers is small relative to the ability of the business to reach out to them.
A sales forecast based on this method has several demerits such as:
- The customers may change their minds anytime without consultation with the business
- It is an uneconomical way to do a forecast when the client base is large
- Predicting sales over the long-run using this method is statistically impossible
It has a few merits in that the information is obtained first hand from the consumers or buyer and the real intentions of the buyers at the time of collecting information is known.
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