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swat32
3 years ago
11

Paying for a WiFi Network. Consider a small town with 1,000 households. The town could install a wireless WiFi network that woul

d give everyone in town access to the Internet. Each household is willing to pay a maximum of $50 per year for the network, and the cost of the system is $20,000 per year. (Related to Application 1 on page 647.)a. Is the WiFi system efficient?b. Suppose the town asks for voluntary contributions to support the network. Would you expect the total contributions to cover the $20,000 cost?c. Suppose the town keeps track of the contributions and issues passwords to people who contributed at least $20. Would you expect the total contributions to cover the $20,000 cost?
Business
1 answer:
lesantik [10]3 years ago
6 0

Answer:

a.The efficiency of the WiFi system will depend upon the usage and the speed of internet provided by the ISP (Internet Service Provider). Keeping in mind that the town have 1,000 households the network to choose will need to be fast and reliable also each household should be allowed to download a certain amount of DATA via internet so that the each household can get benefit from the WiFi System.

b. If each household is willing to pay $50 per year the contribution received will be $50×1,000 = $50,000. So the cost of WiFi system will be recovered.

c. If the town keeps tracks of the contributions and ask the household to contribute at least $20 per year so yes the total cost of WiFi system will be recovered. $20× 1,000= $20,000

Explanation:

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(20 points)
neonofarm [45]

c.

d

false

d

true

true

true



7 0
3 years ago
Read 2 more answers
What is one downside of banking at a traditional branch versus on-line-only banking​
tresset_1 [31]

<u>Answer:</u>

Some online banks have unwieldy procedures to store money. Alternatives can incorporate a deposit-accepting ATM or placing money into a current financial balance and moving that cash to your online record. You could likewise change over the money into a cash request, which you might store electronically utilizing your online bank's portable application.

Security dangers stay a risk and burden of traditional bank areas. Cybercrimes are, obviously, a problematic issue that can influence web-based banking. That being stated, the broad security conventions presently ensuring internet banking frameworks have drastically decreased this risk.

6 0
3 years ago
Use these rental pricing data to answer the questions below: City 2009 Rent 2015 Rent Boise $583 $745 Boston $1,577 $2,150 Seatt
lisabon 2012 [21]

Answer:

Rate of change of rent [Seattle] = $95.5

Explanation:

Given:

2009 Rent $583

2015 Rent  $745

2009 Boston $1,577

2015 Boston $2,150

2009 Seattle $958

2015 Seattle $1,600

Find:

Rate of change of rent [Seattle]

Computation:

Rate of change of rent [Seattle] = Change in price / Change in time

Rate of change of rent [Seattle] = [$2,150 - $1,577] / [2015 - 2009]

Rate of change of rent [Seattle] = $573 / 6

Rate of change of rent [Seattle] = $95.5

8 0
3 years ago
he value of a share of common stock depends on the cash flows it is expected to provide, and those flows consist of two elements
nekit [7.7K]

Answer:

TRUE

Explanation:

Using the Gordon Growth Model,  we can adequately demonstrate that the dividend and price of a share are both components of the cashflow to be considered in share valuation.

Price per share is found to be D(1) / (r - g)  

where:

Do = Dividend now

D1 = Dividend in year 1

g = growth

r = required return

So we see that the market price of a share which determines the market capitalization of a company is predicted by a growth in dividends. So the benefits of holding a share will not only depend on how much the share is sold now as against how much it can be sold in the future (in order to make a gain), but also how much you can be earning until such sale occurs.

3 0
3 years ago
According to the PMQ Pizza Magazine, an estimate of pizza sales in the United States for the top 100 pizza companies was $44.3 b
shusha [124]

Answer:

PMQ Pizza Magazine

Estimate of Pizza Sales in the United States for top 100 pizza companies

a. Computation of the sales per franchise unit:

Name of company              Units          Sales      Sales per Franchise unit

Domino's                           14,490       12,252           $0.845

Pizza Hut                           16,336       12,034              0.737

Little Caesars Pizza            5365        4,000              0.746

Papa John's International   5071        3,695              0.729

California Pizza Kitchen       260           840              3.231

b. Frequency distribution based on total sales:

Frequency               Sales ($ millions)

O up to 1750                      840

1750 up to 3500                    0

3500 up to 5250           7,695

5250 up to 7000                  0

7000 up to 8750                  0

8750 up to 10500                0

10500 up to 12250     12,034

12250 up to 14000     12,252

Total sales                 32,821

c. Frequency distribution of companies based on per unit sales:

Frequency Per unit sales ($ millions)

0.0 up to 0.5               0

0.5 up to 1                    4

1 up to 1.5                     0

1.5 up to 2                     0

2 up to 2.5                   0

2.5 up to 3                    0

3 up to 3.5                    1

3.5 up to 4                   0

Total                          5

Explanation:

a) Data and Calculations:

Total estimated sales in 2018 = $44.3 billion

Top 5 Companies Total gross sales in $ millions.

Name of company              Units          Sales      Sales per Franchise unit

Domino's                           14,490       12,252           $0.845 (12,252/14,590)

Pizza Hut                           16,336       12,034              0.737 (12,034/16,336)

Little Caesars Pizza           5,365        4,000              0.746 (4,000/5,365)

Papa John's International  5,071        3,695              0.729 (3,695/5,071)

California Pizza Kitchen       260           840              3.231 (840/260)

b. Frequency distribution based on total sales:

Frequency               Sales ($ millions)

O up to 1750                      840

1750 up to 3500                    0

3500 up to 5250           7,695

5250 up to 7000                  0

7000 up to 8750                  0

8750 up to 10500                0

10500 up to 12250     12,034

12250 up to 14000     12,252

Total sales                 32,821

c. Frequency distribution of companies based on per unit sales:

Frequency Per unit sales ($ millions)

0.0 up to 0.5               0

0.5 up to 1                    4

1 up to 1.5                     0

1.5 up to 2                     0

2 up to 2.5                   0

2.5 up to 3                    0

3 up to 3.5                    1

3.5 up to 4                   0

Total                          5

7 0
3 years ago
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