Sachs Brands' defined benefit pension plan specifies annual retirement benefits equal to: 1.2% × service years × final year's salary, payable at the end of each year. Angela Davenport was hired by Sachs at the beginning of 2004 and is expected to retire at the end of 2038 after 35 years' service. Her retirement is expected to span 18 years. Davenport's salary is $80,000 at the end of 2018 and the company's actuary projects her salary to be $230,000 at retirement. The actuary's discount rate is 6%. (FV of $1, PV of $1, FVA of $1, PVA of $1, FVAD of $1 and PVAD of $1) (Use appropriate factor(s) from the tables provided.)

Required:
2. Estimate by the projected benefits approach the amount of Davenport's annual retirement payments earned as of the end of 2018.
3. What is the company's projected benefit obligation at the end of 2018 with respect to Davenport? (Do not round intermediate calculations. Round your final answer to nearest whole dollar.)
4. If no estimates are changed in the meantime, what will be the company's projected benefit obligation at the end of 2021 (three years later) with respect to Davenport? (Do not round intermediate calculations. Round your final answer to nearest whole dollar.)

Sachs Brands' defined benefit pension plan specifies annual retirement benefits equal to: 1.3% × service years × final year's salary, payable at the end of each year. Angela Davenport was hired by Sachs at the beginning of 2004 and is expected to retire at the end of 2038 after 35 years' service. Her retirement is expected to span 18 years. Davenport's salary is $81,000 at the end of 2018 and the company’s actuary projects her salary to be $235,000 at retirement. The actuary's discount rate is 7%. (FV of $1, PV of $1, FVA of $1, PVA of $1, FVAD of $1 and PVAD of $1) (Use appropriate factor(s) from the tables provided.)

Required:

2. Estimate by the accumulated benefits approach the amount of Davenport’s annual retirement payments earned as of the end of 2018.

3. What is the company’s accumulated benefit obligation at the end of 2018 with respect to Davenport? (Do not round intermediate calculations. Round your final answer to nearest whole dollar.)

4. If no estimates are changed in the meantime, what will be the accumulated benefit obligation at the end of 2021 (three years later) when Davenport’s salary is $95,000?

(Do not round intermediate calculations. Round your final answer to nearest whole dollar.)

Sachs Brands’ defined benefit pension plan specifies annual retirement benefits equal to: 1.6% × service years × final year’s salary, payable at the end of each year. Angela Davenport was hired by Sachs at the beginning of 2004 and is expected to retire at the end of 2038 after 35 years’ service. Her retirement is expected to span 18 years. Davenport’s salary is $90,000 at the end of 2018 and the company’s actuary projects her salary to be $240,000 at retirement. The actuary’s discount rate is 7%. (FV of $1, PV of $1, FVA of $1, PVA of $1, FVAD of $1 and PVAD of $1) (Use appropriate factor(s) from the tables provided.)

Required:
2. Estimate by the projected benefits approach the amount of Davenport's annual retirement payments earned as of the end of 2018.
3. What is the company's projected benefit obligation at the end of 2018 with respect to Davenport? (Do not round intermediate calculations. Round your final answer to nearest whole dollar.)
4. If no estimates are changed in the meantime, what will be the company's projected benefit obligation at the end of 2021 (three years later) with respect to Davenport? (Do not round intermediate calculations. Round your final answer to nearest whole dollar.)

Can you write this program, but in python, I just wanna see what am I doing wrong. thank you

Instructions: The Gas-N-Clean Service Station sells gasoline and has a car wash. Fees for the car wash are $1.25 with a gasoline purchase of $10.00 or more and $3.00 otherwise. Three kinds of gasoline are available: regular at $2.89, plus at $3.09, and super at $3.39 per gallon.

User Request: Write a program that prints a statement for a customer.

Analysis: Input consists of number of gallons purchased (R, P, S, or N for no purchase), and car wash desired (Y or N). Gasoline price should be program defined constant. Sample output for these data is

Enter number of gallons and press <Enter> 9.7

Enter gas type (R, P, S, or N) and press <Enter> R

Enter Y or N for car wash and press Y

************************************** * *

* Gas-N-Clean Service Station *

* March 2, 2004 *

* * * **************************************

Amount Gasoline purchases 9.7 Gallons

Price pre gallons $ 2.89

Total gasoline cost $ 28.03

Car wash cost $ 1.25

Total due $ 29.28

Thank you for stopping

Please come again

Remember to buckle up and drive safely

In spite of inflation increasing most prices, the price of solar power declining. Also in contrast to fossil fuels, the cost of generating electricity from solar energy is driven by the infrastructure costs instead of the cost of the natural resource. Therefore the costs and prices are more stable, particularly for large-scale electricity generation.

Historically, solar technologies have had high upfront infrastructure costs but low operating costs. The SunShot program launched in 2011 by the U.S. Department of Energy (DOE) seeks to make solar energy economically competitive by 2020. To achieve this goal, the cost of solar power will have to be reduced by roughly 75% relative to 2010 prices. The U.S. DOE has reported that cumulative adoption of solar technologies has increased over tenfold since 2008. It is expected that achieving the price reduction set by the SunShot initiative could lead to solar representing 14% of the electricity demand in the U.S. by 2030 and 27% by 2050.

According to a study by the National Renewable Energy Laboratory and the Lawrence Berkeley National Laboratory, reported prices of both residential and commercial photovoltaic systems decreased on average from 6% to 12% annually between 1998 and 2014. At the end of 2014, photovoltaic prices ranged from $4.27/W for residential systems with a median installed capacity of 6kW to $2.08/W for utility-scale systems. Costs for utility scale systems are projected to fall $1.00/W to $1.75/W by 2020. It is expected that within the next two decades, the cost of solar technologies will be lower than the costs of conventional fossil fuel electricity technologies. These lower electricity prices can decrease inflation and contribute to increased economic activity and growth.

Interestingly, the deployment of solar technologies continues to increase despite the 2015 plunge in oil prices. Solar was the third most added electricity-generation capacity in 2015, after wind and natural gas. However, the share of solar compared to the total U.S. electricity capacity in 2015 was 2%, while its generation share was only 0.9%. So it remains to be seen if the goal of the SunShot initiative will be met.

1. Deflation decreases the general prices of goods and services and increases purchasing power. How does this differ from the declining price of solar technologies?
2. Currently, most electricity generation in the U.S. is from fossil fuels, including petroleum, coal, and natural gas. In what ways has the 2015 decline in oil prices affected the adoption of solar technologies?
3. Use Internet resources to compare the changes in the prices of renewable energy technologies including wind, solar, and geothermal over the last 5 years. Which of these three technologies has achieved the greatest cost decline during that period?
4. In addition to cost, what are other barriers to the adoption of photovoltaic systems?

1.-Given are five observations for two variables, x and y.

(d) Develop the estimated regression equation by computing the values of b₀ and b₁ using b₁ =(Σ(x_i − x)(y_i − y))/Σ(x_i − x)² and b₀ =  y − b₁x.

(e)Use the estimated regression equation to predict the value of y when x = 2.

2.-Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies.

(c) Use the least squares method to develop the estimated regression equation that can be used to predict annual revenue (in $ millions) given the number of cars in service (in 1,000s). (Round your numerical values to three decimal places.)

ŷ =_____

(d) For every additional car placed in service, estimate how much annual revenue will change (in dollars). (Round your answer to the nearest integer.)

Annual revenue will increase by $ ___  , for every additional car placed in service.

(e) A particular rental company has 6,000 cars in service. Use the estimated regression equation developed in part (c) to predict annual revenue (in $ millions) for this company. (Round your answer to the nearest integer.)

$ __ million

6.5 Of 100 customers who received promotional materials for a marketing campaign, 10 responded to the promotion. For the following confidence levels, construct a confidence interval for the population proportion who would respond to the promotion.

1. (a) 90%

2. (b) 95%

3. (c) 99%

4. (d) For each of the confidence intervals above, calculate and interpret the margin

   of error.

5. (e) Refer to part (d) above. Describe the relationship between margin of error and

   confidence level.

How do channel members bring about operational efficiency in the process of transferring
goods and services from the manufacturers to the customers? (Hint: focus on the Supply Side
factors that justify their existence)

4. List and explain the differences between the two types of Channel Systems that are used in the
markets. Why is one of these systems preferred over the other? Give reasons for that.

Please help me answer this in essay form at least 2 paragraphs

1. Briefly discuss the boundary between expressing an opinion and defamation.

2. Discuss methods other than filtering to prevent employees from inappropriate use of the Internet at work and whether the approach taken by a large company would be as successful at a small company.

3. Explain the main disadvantages of allowing employees at a given organization to create their own personal blogs to reach out to partners, customers, and other employees, and to improve their corporate image.