Suppose a natural gas distribution company has capital investments of $8 million and a capital cost r of 10%. The firm’s operating, billing, and maintenance costs are $200,000. The firm buys natural gas at the city gate price of $5/MCF to sell to its customers. The firm distributes gas to those customers through its existing pipeline network at close to zero marginal cost.

The firm faces the following (inverse) demand by customer type (recall that these are average demand per customer, so at any given price you have to multiply quantity by the number of customers to get total quantity demanded in that customer group):

Residential (10,000 customers): P = 50 − 5*q

Commercial (1,000 customers): P = 50 − q

Industrial (100 customers): P = 20 − 1/100 * q

Calculate the two-part tariff if the firm charges each customer the same two-part tariff and charges P = MC as the variable charge. What is the deadweight loss in this case?

Assume that a scandium atom lost one of its 2p electrons.

1) What is the term symbol for the open shell configuration of the ionized 2p level (ignoring other levels, and assumgint he ion is in its lowest energy state)

2) Find all possible term symbols for this ionized scandium atom

What happens when one base pair of DNA is lost from the coding region of a gene because of mutation? First explain how this would affect the mRNA sequence, and second, explain how this would alter the amino acid of the protein that is encoded.

A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:

y = β₀ + β₁x + ε

where

• y = traffic flow in vehicles per hour
• x = vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.

ŷ = b₀ + b₁x + b₂x²

(a)Develop an estimated regression equation for the data of the form ŷ = b₀ + b₁x + b₂x². (Round b₀ to the nearest integer and b₁ to two decimal places and b₂ to three decimal places.)

ŷ =

(b)Use α = 0.01 to test for a significant relationship.

State the null and alternative hypotheses.

H₀: One or more of the parameters is not equal to zero.
H_a: b₁ = b₂ = 0

H₀: One or more of the parameters is not equal to zero.
H_a: b₀ = b₁ = b₂ = 0  

   H₀: b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.

H₀: b₀ = b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Reject H₀. We cannot conclude that the relationship is significant.

Do not reject H₀. We conclude that the relationship is significant.    

Do not reject H₀. We cannot conclude that the relationship is significant.

Reject H₀. We conclude that the relationship is significant.

(c) Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)

vehicles per hour

A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = β₀ + β₁x + ε where

• y = traffic flow in vehicles per hour
• x = vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation. ŷ = b₀ + b₁x + b₂x²

(a) Develop an estimated regression equation for the data of the form ŷ = b₀ + b₁x + b₂x².  (Round b₀ to the nearest integer and b₁ to two decimal places and b₂ to three decimal places.)

ŷ =

(b) Use α = 0.01 to test for a significant relationship. State the null and alternative hypotheses.

H₀: b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.

H₀: One or more of the parameters is not equal to zero.
H_a: b₀ = b₁ = b₂ = 0   

  H₀: One or more of the parameters is not equal to zero.
H_a: b₁ = b₂ = 0

H₀: b₀ = b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Reject H₀. We conclude that the relationship is significant.

Do not reject H₀. We conclude that the relationship is significant.   

Do not reject H₀. We cannot conclude that the relationship is significant.

Reject H₀. We cannot conclude that the relationship is significant.

(c) Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)

vehicles per hour

A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:

y = β₀ + β₁x + ε

where

• y = traffic flow in vehicles per hour
• x = vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.

ŷ = b₀ + b₁x + b₂x²

(a)

Develop an estimated regression equation for the data of the form

ŷ = b₀ + b₁x + b₂x².

(Round b₀ to the nearest integer and b₁ to two decimal places and b₂ to three decimal places.)

ŷ =

(b)

Use α = 0.01 to test for a significant relationship.

State the null and alternative hypotheses.

H₀: One or more of the parameters is not equal to zero.
H_a: b₁ = b₂ = 0 H₀: One or more of the parameters is not equal to zero.
H_a: b₀ = b₁ = b₂ = 0      H₀: b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero. H₀: b₀ = b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Do not reject H₀. We cannot conclude that the relationship is significant.

Do not reject H₀. We conclude that the relationship is significant.    

Reject H₀. We cannot conclude that the relationship is significant.

Reject H₀. We conclude that the relationship is significant.

(c)

Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)

vehicles per hour

A statistical program is recommended.

A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:

y = β₀ + β₁x + ε

where

• y = traffic flow in vehicles per hour
• x = vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.

ŷ = b₀ + b₁x + b₂x²

(a)

Develop an estimated regression equation for the data of the form

ŷ = b₀ + b₁x + b₂x².

(Round b₀ to the nearest integer and b₁ to two decimal places and b₂ to three decimal places.)ŷ =

(b)

Use α = 0.01 to test for a significant relationship.

State the null and alternative hypotheses.

H₀: b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.H₀: b₀ = b₁ = b₂ = 0
H_a: One or more of the parameters is not equal to zero.    H₀: One or more of the parameters is not equal to zero.
H_a: b₀ = b₁ = b₂ = 0H₀: One or more of the parameters is not equal to zero.
H_a: b₁ = b₂ = 0

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Reject H₀. We conclude that the relationship is significant.Do not reject H₀. We cannot conclude that the relationship is significant.    Reject H₀. We cannot conclude that the relationship is significant.Do not reject H₀. We conclude that the relationship is significant.

(c)

Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)

vehicles per hour

Green Co. issued note receivable in January, 2017. Assuming the market interest rate is 10% per annum, how much would Green Co. record as an interest revenue for 2017 if the terms of the note are that it would be a two-year, $120,000 note bearing interest at 8 percent annually? (The present value of $1 for one and two period at 10% is 0.90909 and 0.82645).

a. $9,267.

b. $11,584.

c. $0.

d. $9,600.

A non-dividend-paying stock currently sells for $100 per share. The risk-free rate is 8% per annum and the volatility is 13.48% per annum. Consider a European call option on the stock with a strike price of $100 and the time to maturity is one year. a. Calculate u, d, and p for a two-step tree. b. Value the option using a two-step tree. Verify your results with the Option Calculator Spreadsheet.

BUSINESS LAW FOR ACCOUNTING :

Demonstrate your knowledge of Public Law (Criminal Law, Quasi-Criminal Law, Administrative Law) and Private Law (Contract Law and Tort Law) in following scenario.
John works at Joe’s Garage as a general laborer. His duties usually include cleaning the floors, driving cars in an out of the shop, picking up parts from suppliers, etc. One day, the shop was short-handed and John volunteered to do the brake job on customer Mary’s vehicle. He told the shop foreman, “I’ve done this many times on my own car.” The foreman allowed John to work on Mary’s car. After the service was completed, John took Mary’s vehicle for a test drive despite having no car insurance. While on the test drive, John drives the vehicle up to 80km/hr on a street where the speed limit is 40km/hr. He then runs a red light and collides with a vehicle driven by Jane. Jane, a single mom of a 3 year-old infant, is paralyzed by the accident.
Identify FOUR distinct Public Law or Private Law issues or liability in this scenario. For each issue, identify the parties on both sides of the issue and the likely legal outcome.