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kotegsom [21]
4 years ago
7

4: In 2013, the United States Postal Service charged $0.46 to mail a letter weighing up to 1 oz. and $0.20 per ounce for each ad

ditional ounce. Which function would determine the cost, in dollars, c(z), of mailing a letter weighing z ounces where z is an integer greater than 1
Business
2 answers:
Gekata [30.6K]4 years ago
6 0

Answer:

The function that would determine the cost in dollars, c(z), of mailing a letter weighing z ounces is (0.46 + 0.20z)

Explanation:

Weight of the letter = z ounces (z is an integer greater than 1)

cost to mail a letter weighing 1 ounce = $0.46

cost to mail an additional ounce = $0.20

cost to mail z additional ounces = z × $0.20 = $0.20z

Total cost of mailing a letter weighing z ounces = $0.46 + $0.20z

Therefore, cost function, c(z) = 0.46 + 0.2z

soldier1979 [14.2K]4 years ago
3 0

Answer:

c(z) = 0.46 + 0.20(z - 1)

Explanation:

For letters weighing up to 1 oz $0.46 is charged

For each additional ounce $0.20 is charged

so base cost is $0.46 which should remain constant and should not change.

variable cost is $0.20 which can change according to weight so it should be linked with variable z.

So the required function would be

c(z) = 0.46 + 0.20(z - 1)

Verification:

Lets verify the above function.

When weight of the letter is 1 oz.

c(1) = 0.46 + 0.20(1 - 1) = 0.46 + 0.20(0) = $0.46

When weight of the letter is 2 oz.

c(2) = 0.46 + 0.20(2 - 1) = 0.46 + 0.20(1) = $0.66

Hence the function is working correctly.

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In which one of the following instances is rivalry among competing sellers notmore intense?
dimaraw [331]

Answer: E.When there are so many industry rivals that the impact of any one company's actions is spread thinly across all industry members

Explanation:

The more the number of players in an industry the more it gets congested and especially for the competing sellers. The decision for increasing or reducing price is met by follower firms to do the same thing. It gets less competitive because you know all the players in the industry would be following the same practices and doing the same thing.

7 0
3 years ago
At the start of football season, the ticket office gets very busy the day before the first game. Customers arrive at the rate of
ipn [44]

Answer:

(a) 3.2

(b) 10 minutes

(c) 0.8

Explanation:

Mean number of customer in service:

= Arrival rate ÷ service rate

= 24 in 60 min ÷ 30 in 60 min

= 24 ÷ 30

= 0.8

a) Average number of people in line:

= (Mean number of customer in service × arrival rate) ÷ (Service rate - arrival rate)

= 0.8 × (24 ÷ 6 )

= 3.2

b) Average time spend at the ticket office is = 10 minutes

c) Proportion of time server is busy:

= Arrival rate ÷  service rate

= (24 in 60 min ÷  30 in 60 min)

= 24 ÷ 30

= 0.8

7 0
3 years ago
A pencil manufacturer is in a perfectly competitive market. The firm can sell as much as it wants at a price of $1.50 per pencil
Ierofanga [76]

Answer:

d. Continue production in the short run, but exit the business in the long run unless prices are expected to rise or costs to fall..

Explanation:

Currently, their sales revenue less variable cost is positive as it can sale at $1.50 dollars and the variables cost are less than that. Therefore, there are fixed cost thefirm can pay because it produce.

Now, in the long-run when the firm can exit the market it should consider to do so if it continues to get an average cost above the selling price.

3 0
3 years ago
Suppose a life insurance company sells a ​$290 comma 000 ​one-year term life insurance policy to a 20​-year-old female for ​$280
Monica [59]

Answer:

The insurance company will gain an expected value $176.66032

Explanation:

The expected value is the gain or loss of an event and is calculated each outcome by its probability.

In our case we have to consider all events as follows;

The probability of dying means the insurance company will have a loss of $290,000 and gain $280 which is the cost of the policy. The probability of this happening=(1-probability of living)=(1-0.999644)=0.000356

The probability of living means the insurance company will gain $280, and the probability of this happening=0.999644

The gain or loss from death=280-290,000=-$289,720

The gain or loss from living=$280

Expected value=(The loss from death×probability of death)+(The gain from living×probability of living)

where;

The loss from death=-$290,000

Probability of death=0.000356

The gain from living=$280

Probability of living=0.999644

replacing;

Expected value=(-290,000×0.000356)+(280×0.999644)

Expected value=(-103.24+279.90032)

Expected value=$176.66032

The insurance company will gain an expected value $176.66032

4 0
3 years ago
A company acquired an office building on three acres of land for a lump-sum price of $2,450,000. The building was completely equ
galina1969 [7]

Answer:

$735,000

Explanation:

The fair values of the assets may be used as a basis for determining the amount to be recorded for each of the assets.

This will be in a proportional manner such that the higher the fair value, the higher the actual cost assigned and vice versa to the asset.

Hence the amount to be recorded for the building

= 840,000 / (840,000 + 840,000 + 1,120,000) * $2,450,000

= $735,000

7 0
3 years ago
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