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%.

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

b)What is the company's accumulated benefit obligation at the end of 2018 with respect to Davenport?

c)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 $100,000?

nswer the following five questions (12-16) using the information below:

Rudolph Industries, Inc. (RII), developed standard costs for direct material and direct labor. In 2004, RII estimated the following standard costs for one of their major products, the 10-gallon plastic container.

During June, RII produced and sold 5,000 containers using 490 pounds of direct materials at an average cost per pound of $32 and 250 direct manufacturing labor-hours at an average wage of $15.25 per hour.

June's direct material flexible-budget variance is:

Discuss any tax aspects or problems with this statement. The TV show TMZ spoke with Larry Edema from Michigan, who was selected to be in the audience for Oprah’s big giveaway: a free trip to Australia. Supposedly, Winfrey had a certified public accountant on hand to address the tax issue right after the taping. Edema said that the CPA assured the group that all taxes associated with the trip would be “handled by the Oprah show”; so the trip would truly be 100% free. The CPA also explained that Oprah would cover all sightseeing costs and travel-related expenses, including passport costs for people who could not afford them. It was a big change from Oprah’s 2004 controversy when she famously gave away brand-new cars but saddled audience members with as much as $7,000 in income taxes.

Until the mid-eighteenth century when spinning became mechanized, cotton was an expensive and relatively unimportant textile (Virginia Postrel, “What Separates Rich Nations from Poor Nations?” New York Times, January 1, 2004). Where it used to take an Indian hand-spinner 50,000 hours to hand-spin 100 pounds of cotton, an operator of a 1760s-era hand-operated cotton mule-spinning machine could produce 100 pounds of stronger thread in 300 hours. When the self-acting mule spinner automated the process after 1825, the time dropped to 135 hours, and cotton became an inexpensive, common cloth.

Provide two examples in a recent human experience that parallel's what you have read about cotton clothing.

Explain how the two examples of recent experience are similar to what you have read.

TVM Consulting bought new building for its headquarters in the year 2000. The purchase cost was 228197 dollars and in addition it had to spend 22004 dollars adapting the space for its services. The building has been in use since June 21st, 2000. TVM Consulting forecasted that in 2030 the building would have a net salvage value of $100,000. Using the US Straight Line Depreciation Schedule, estimate the total value of depreciation recorded in the accounting books if TVM consulting decides to sell the building on April 15th , 2004 (i.e. summation of all annual depreciation amounts recorded throughout the years of usage). (note: round your answer to the nearest cent and do not include spaces, currency signs, or commas)

CORRECT ANSWER: 24592.16

I am assuming the date of purchase is June 21st, 2000. This is all of the information given.

1. The annual precipitation measurements (Pi in cm) for M city, over a 20year period are shown in the following table. Determine the mean, standard deviation, and skew coefficient for this series.

2. Annual precipitation measurements (Pi in cm) for M City, were given in Problem 1. Determine the magnitude of the 10-year precipitation depth if the data fit:

1. the normal distribution.
2. the Gumbel distribution.

How many times was the P10 (normal) exceeded in the 20-year annual precipitation record given in Problem 1?

Complaints concerning excessive commercials seem to grow as the amount of “clutter,” including commercials and advertisements for other television shows, steadily increases on network and cable television. A recent analysis by Nielsen Monitor-Plus compares the average nonprogram minutes in an hour of prime time for both network and cable television. Data for selected years are shown as follows. Year 1996 1999 2001 2004 Network 9.88 14.00 14.65 15.80 Cable 12.77 13.88 14.50 14.92 a. Calculate the correlation coefficient for the average nonprogram minutes in an hour of prime time between network and cable television. b. Conduct a hypothesis test to determine if a positive correlation exists between the average nonprogram minutes in an hour of prime time between network and cable television. Use a significance level of 0.05 and assume that these figures form a random sample.

1. The annual precipitation measurements (Pi in cm) for M city, over a 20year period are shown in the following table. Determine the mean, standard deviation, and skew coefficient for this series.

2. Determine the mean, standard deviation, and skew coefficient for the log values of annual rainfall for M City, given in Problem 1. Also determine the mean precipitation (in cm) of the log-transformed data.

please clarify each step of he solution and do not use Microsoft Excel

using chapter 13 data set 2, the researchers want to find out whether there is a difference among the graduation rates (and these are percentages) of five high schools over a 10-year period. Is there? (hint: are the years a factor?)

Write a program that meets the following requirements:

Cat Class

1. Create a class called Cat which has only the following instance variables:

- name

- breed

- number of legs

- year born

2. Create the no-argument constructor
3. Create the constructor which uses all fields as parameters
4. Write the getter and setter methods for all instance variables
5. Override the toString method using the example shown above

There should be NO main method in the Cat class.

CatTester Class

1. Create a class called CatTester which constructs 10 different Cat objects
2. Add each Cat object to an array
3. Use an enhanced for loop to SOP each Cat reference
4. Use a second for loop to SOP only those Cats that are born after 2004 and have legs greater than 3

• You should use the class names of Cat and CatTester