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3 years ago

Who is responsible for maintaining roads in lynchburg va?

1 answer:

7 0

The agency that is responsible for the roads in Lynchburg, Virginia is the Virginia Department of Transportation. This is a state agency is that is responsible for all of the roads in the state of Virginia. Some of the things that they do is to maintain all roadways, operating the roads, and building the roads. They also make sure to keep the roadways clear of ice in the winter by putting down chemicals and salt to keep the ice melted off the major roadways. They also plow the roads in the winter. In the summer, they start clearing off the sides of roads of grass and debris. The county road crews are normally only filling potholes and other minor issues with roads in the area.

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Prometheus Corp. is a large-scale manufacturer of consumer electronic gadgets. As part of its performance management system, Pro

myrzilka [38]

Answer: Critical success factors (CSFs)

Explanation:

The critical success factor is one of the management element that helps in achieving the organizational main goals and their mission in an organization.

The main aim of the critical success factor is that it helps in evaluating all the key factor in the company for increase the performance and also helps in accomplishing the given task.

According to the given scenario, the Prometheus corporation is one of the large electronic manufacturing firm and each employee of this company contributing in the profits as it is categorized as critical success factor.

Therefore, Critical success factors (CSFs) is the correct answer.

6 0

3 years ago

A Japanese insurance company purchases U.S. government securities. From the perspective of the United States, the balance of tra

Helga [31]

Answer:

a. not change; improve

Explanation:

Balance of trade is the difference in value over a period of time between a country’s imports and exports of goods and services, usually expressed in the unit of currency of a particular country (e.g., dollars for the United States, yen for the Japan).

Balance of payments record the receipts and payments of the residents of the country in their transactions with residents of other countries.

A Japanese insurance company purchases U.S. government securities. From the perspective of the United States, the balance of trade with Japan will not change and the balance of payments with Japan will improve.

7 0

3 years ago

In a long-run equilibrium,

Serga [27]

Answer: Option (d) is correct.

Explanation:

Correct option: Only a perfectly competitive firm operates at its efficient scale.

In the perfectly competitive market and in the long run, the firms who are making losses will exit the market and those firms who are able produce at a point where price is equal to the average total cost will exist in the market.

However, monopolistic firms operates at a below efficient level of production and with an excess capacity.

Competitive firms are generally enjoys the productive efficiency in the long run because these firms have the capability to produce at a lower average total cost.

8 0

3 years ago

Daily demand for newspapers for the last 10 days has been as follows: 12, 13, 16, 15, 12, 18, 14, 12, 13, 15 (listed from oldest

katrin [286]

Answer:

The correct option is E,14

Explanation:

In using the two-day moving average to forecast for the next day sales, the previous two days sales are taken , summed to up and finally averaged(that is divided by 2)

Next day forecast=sum of previous two days sales figures/number of days

sum of previous two days forecast=13+15=28

since the number of the days is 2 ,the 8 is divided by 2,28/2=14

Ultimately the next day forecast sales figure is 14 newspapers

Option A is wrong that is just considering of the two previous day, the same thing applies to option B.

Option C is the sum of previous two days sales without being divided

5 0

3 years ago

The Centers for Disease Control and Prevention (CDC) defines a healthy sleep duration

laiz [17]

a. The point estimate of the married people that sleep well is = 0.6299. The confidence interval for the mean hours of sleep for those that have never been married but report good sleep is 0.6186, 0.6412

b. The point estimate of the number of hours for people that have never been married = 7.2257

95% confidence interval for the mean number of hours of sleep for those who have never been married = 7.2065, 7.2447

c. the estimated number of sleep for those that have never been married = 7.729 hours

a. The point estimate

$P=\frac{Xp}{n}$

$Xp = successes\\n = sample size\\$

Those who have never been married n = 7044

Xp = those who sleep for 7 hours at least

To get Xp, the excel function

Countif(range, criteria)

Countif(A:A, >=7)

This gives Xp = 4437

Point estimate =

$\frac{4477}{7044}$

= 0.6299

The point estimate of the married people that sleep well is = 0.6299

At 95% interval of confidence,

α = 1-0.95 = 0.05

α/2 = 0.05/2 = 0.025

Z0.025 = 1.96 ( Use the standard probability normal table)

Margin of Error

= $M.E = 1.96\sqrt \frac{0.6299(1-0.6299)}{7044} \\\\= 1.96\sqrt{0.000033} \\\\1.96*0.0057$

= 0.0113

The 95% confidence interval

= 0.6299 - 0.0113 , 0.6299 + 0.0113

= 0.6186, 0.6412

The confidence interval for the mean hours of sleep for those that have never been married is 0.6186, 0.6412

b. Sample mean

x = ∑x/n

x = number of sleep of the never been married

Mean is calculated using excel function

Average(range)

Average(a:a)

This gives the sample mean = 7.2257

The point estimate of the number of hours for people that have never been married = 7.2257

Standard deviation using excel =

Stdev(A:A) = 0.8211

$Margin of error =1.96*\frac{0.8211}{\sqrt{7044} }$

= 0.0192

The confidence interval =

= 7.2257-0.0192, 7.2257+0.0192

= 7.2065, 7.2447

95% confidence interval for the mean number of hours of sleep for those who have never been married = 7.2065, 7.2447

c. From the available data, the mean number of sleep per day that is gotten from the 4437 people that are unmarried and sleep healthily for at least 7 hours = 34295.1

Mean = 34295.1/4437

= 7.729

the estimated number of sleep for those that have never been married = 7.729 hours

6 0

3 years ago