1. New York Yankee Roger Maris held the single season home run record from 1961 until 1998. Here are Maris' home run counts for his 10 years in the American League: 14 28 16 39 61 33 23 26 8 13 Maris' record 61 home runs in 1961 is an outlier in this data set. Question 1. Find the mean, median, and the standard deviation. Mean: Median: Stand deviation: Question 2. Find the mean, median, and standard deviation for the 9 observations remaining when you leave out the outlier. Mean: Median: Stand deviation: Did omitting the outlier increase or decrease the mean and standard deviation? (your answer should be one of the words "increase" or "decrease", without the quotes).

2.Four states had recent ballot measures about imposing limits on damage awards or attorneys' fees in medical malpractice cases. Find the mean and the standard deviation of the numbers of voters per state in favor of this measure, using the data in the table. (Round your answers to the nearest whole number.) mean votes standard deviation votes State Number in Favor Florida 4,435,173 Nevada 465,325 Oregon 744,264 Wyoming 15,622

3.A nonprofit organization sells chances for a $72,000 classic Mustang at $100 per ticket. It sells 1500 tickets and offers four prizes, summarized in the table. What are the expected winnings (or loss) for each ticket? (Round your answer to the nearest cent.) Prizes Amount First $72,000 Second 5,000 Third 2,500 Fourth 1,100 There is an expected of $ .

4. Suppose a student is offered a chance to draw a card from an ordinary deck of 52 playing cards and win $10 for an ace, $2 for a king, and $1 for a queen. If the student pays $4 to play the game, what is the amount the student expects to win each time? $

For homework, Go to the store, and get current prices for items listed below..( I know the CPI index is for 2014 and we are in 2015, but we are going to call it "close enough.") Then you will be able to determine if there has been inflation for that particular good. Simply put your prices and year in the bookmarked inflation calculator and it does the work for you.

For example, in 1963 an Easy Bake Oven cost $15.95. Adjusting for the rate of inflation since 1963, an Easy Bake Oven should have cost $117.92 in 2011. However the oven only cost of $39.95 in 2011. Therefore there was no inflation for Easy Bake Ovens.

In 1964 a 21 inch television sold for $479.95. Adjusting for the rate of inflation since 1964, a similar TV should cost $3502.55. However a 21 TV can be bought today for $149.99. Therefore there has been no inflation for TV's!

Submit your price comparisons and conclusions in LEO-specualte as to why some items show inflation and others do not.

http://www.usinflationcalculator.com/ website to calculate CPI

SELECTED PRICES

1945          GAS $.21 GALLON

1945          EGGS $.55 DOZEN

1945          BULOVA WATCH $24.75

1945          BALLPOINT PEN $12.50

1955          REFRIGERATOR $259.00

1955          GAS $.29 GALLON

1963          EASY BAKE OVEN $15.95

1964         WOMEN’S DENIM PANTS $4.97

1972          GAS $.36 GALLON

1978          WESSON OIL 48 OZ. $1.39

1978         EGGS $1.67 DOZEN

1978         RED BAND FLOUR $.69

1978         RC COLA 64 OZ. $.83

1978         CANTALOUPE $.59

1981          GAS $1.38 GALLON

1988          RENT ONE BEDROOM APARTMENT $350.00

1998          GAS $1.03 GALLON

2000        LEMONS $.50 EACH

2000         BANANAS $.48 POUND

2000         RED GRAPES $2.50 POUND

2000          GALLON GENERIC BRAND MILK $2.24

2009         DOVE 8 PACK SOAP $6.98

You are the manager responsible for the audit of Aspersion, a limited liability company, which mainly provides national cargo services with a small fleet of aircraft. The draft accounts for the year ended 30 September 2001 show profit before taxation of Kshs2·7 million (2000 ñ Kshs2·2 million) and total assets of Kshs10·4 million (2000 ñ Kshs9·8 million). The following issues are outstanding and have been left for your attention:

(1) The sale of a cargo carrier to Abra, a private limited company, during the year resulted in a loss on disposal of Kshs400,000. The aircraft cost Kshs1·2 million when it was purchased in October 1992 and was being depreciated on a straight-line basis over 20 years. The minutes of the board meeting at which the sale was approved record that Aspersionís finance director, Iain Jolteon, has a 30% equity interest in Abra.                          

(2) As well as cargo carriers, Aspersion owns two light aircraft which were purchased in 1998 to provide business passenger flights to a small island under a three year service contract. It is now known that the contract will not be renewed when it expires at the end of March 2002. The aircraft, which cost Kshs450,000 each, are being depreciated over fifteen years.

(3) Deferred tax amounting to Kshs570,000 as at 30 September 2001 has been calculated relating to tangible non-current assets at a tax rate of 30% using the full provision method (IAS 12 ëIncome Taxesí).   On 1 December 2001, the government announced an increase in the corporate income tax rate to 34%. The directors are proposing to adjust the draft accounts for the further liability arising.                                                                 

Required:

For each of the above points:

(i) Comment on the matters that you should consider; and

(ii) State the audit evidence that you should expect to find, in undertaking your review of the audit working papers and financial statements of Aspersion.                   

4) You are the audit manager completing planning for your client Stark Industries
Incorporated (Stark). Stark is a market leader in the technology industry aimed at designing
and developing robots and robotics assistance for the home environment.
Stark formed in 1998 and after a number of loss-making years is now turning a substantial
profit in a very competitive market. The company spends considerable amounts on research
and development and prides itself on the success rate it has with new robotic designs.
Stark owns a number of very large warehouses in which inventory of small and large
robotics and electronic parts are held, along with vast stores of advanced computer technology. The robots and robotic parts are manufactured in another nearby security
warehouse.
Products are then sold to specialized retailers of home computer and electronics, often on
a consignment basis. Stark also has three customers for whom they design and manufacture
large custom made robotics processes for these customers own internal uses. These are
major contracts which often take nine or ten months to construct and worth millions of
dollars. Stark has adopted a percentage completion method of accounting for these
contracts.
For the last six months, Stark has also been making sales of their major product lines to a
few overseas customers. The CEO believes this could be a real growth area for the company
in the near future.
Stark has also recently implemented a new top-of-the-range computer inventory system to
help them track inventory stocks and individual product line performance in all divisions.
The new system was designed and developed by an external computer consultant company
and so far, has been working well with no major errors noted.
Required:
a) List two (2) accounts as a result of your preliminary planning where you would
concentrate audit effort for Stark.
b) For each account:
? State the most important audit assertion and explain why you chose the
particular assertion, and
? Recommend an audit procedure to perform, in order to gather audit
evidence for that assertion.

SUBJECT: TAXATION OF INDIVIDUALS AND BUSINESS ENTITIES (Chapter 25)

Required information

Roland had a taxable estate of $5.5 milionwhen he died this year.

Calculate the amount of estate tax due (if any) under the following alternative. (Refer to EXHIBIT 25-1 AND EXHIBIT 25-2).

a. Roland's prior taxable gifts consist of a taxable gift of $1 million in 2005. Estate tax due?

b. Roland's prior taxable gifts consist of a taxable gift of $1.5 million in 2005. Estate tax due?

c. Roland made a $1 million taxable gift in the year prior to his death. Estate tax due?

EXHIBIT 25-1

EXHIBIT 25-2 THE EXEMPTION EQUIVALENT

Please show the solution. Thank you

Use the data and Excel to answer this question. It contains the United States Census Bureau’s estimates for World Population from 1950 to 2014. You will find a column of dates and a column of data on the World Population for these years. Generate the time variable t. Then run a regression with the Population data as a dependent variable and time as the dependent variable. Have Excel report the residuals.

(a) Based on the ANOVA table and t-statistics, does the regression appear significant?

(b) Calculate the Durbin-Watson Test statistic. Is there a serial correlation problem with the data? Explain.

(d) What affect might your answer in part (b) have on your conclusions in part (a)?

Thanks id advance! Will try to rate the answer ASAP. Please show your process too :)

6.5.4

According to the WHO MONICA Project the mean blood pressure for people in China is 128 mmHg with a standard deviation of 23 mmHg (Kuulasmaa, Hense & Tolonen, 1998). Blood pressure is normally distributed.

1. State the random variable.
2. Suppose a sample of size 15 is taken. State the shape of the distribution of the sample mean.
3. Suppose a sample of size 15 is taken. State the mean of the sample mean.
4. Suppose a sample of size 15 is taken. State the standard deviation of the sample mean.
5. Suppose a sample of size 15 is taken. Find the probability that the sample mean blood pressure is more than 135 mmHg.
6. Would it be unusual to find a sample mean of 15 people in China of more than 135 mmHg? Why or why not?
7. If you did find a sample mean for 15 people in China to be more than 135 mmHg, what might you conclude?

6.5.6

The mean cholesterol levels of women age 45-59 in Ghana, Nigeria, and Seychelles is 5.1 mmol/l and the standard deviation is 1.0 mmol/l (Lawes, Hoorn, Law & Rodgers, 2004). Assume that cholesterol levels are normally distributed.

1. State the random variable.
2. Find the probability that a woman age 45-59 in Ghana has a cholesterol level above 6.2 mmol/l (considered a high level).
3. Suppose doctors decide to test the woman’s cholesterol level again and average the two values. Find the probability that this woman’s mean cholesterol level for the two tests is above 6.2 mmol/l.
4. Suppose doctors being very conservative decide to test the woman’s cholesterol level a third time and average the three values. Find the probability that this woman’s mean cholesterol level for the three tests is above 6.2 mmol/l.
5. If the sample mean cholesterol level for this woman after three tests is above 6.2 mmol/l, what could you conclude?

Many proponents of environmental safety and public health are concerned about the creation, spread, and potential impact of genetically modified foods. The United States, Canada, and Argentina are some of the leading producers of genetically modified foods made from bioengineered organisms (GMOs). The U.S. government believes that GMOs are important for the world’s food supply because they can boost food production and nutrition and lead to both disease-resistant crops and better-tasting foods. Many respected scientific studies vouch for the safety of GMOs for human and animal consumption and on the Earth’s environment. GMOs are important to U.S. agriculture economically. According to the U.S. Department of Agriculture, approximately three-quarters of U.S. soybean and cotton production and over one-third of corn production are genetically modified. However, many consumer groups and countries argue that the dangers to humans, wildlife, and the environment are unknown. Genetically modified corn and soy were approved for sale in the EU prior to 1998, but the European countries ceased new approvals after that time. In addition, the EU and several other countries have adopted regulations requiring the tracing of biotech crops through the chain of distribution, and they imposed strict labeling requirements on all foods and animal feed containing more than 1 percent GMO. European consumers who fear GMO foods will not purchase products with these labels. The United States claims that the requirements are expensive and unnecessary and have cost U.S. farm exporters hundreds of millions of dollars in lost revenues. In 2003, the United States requested a WTO panel to decide whether the moratorium and labeling requirements violate the WTO Sanitary and Phytosanitary Agreement. Research the history of the WTO’s deliberations. What was the outcome? Can you find any decisions of the European Court of Justice on GMOs? What is the current state of EU legislation on GMOs? What is your opinion? Do you think that GMOs should be permitted, or do you think they present some possible harm to the environment or to public health?

C# (Thank you in advance)

Create an Employee class with five fields: first name, last name, workID, yearStartedWked, and initSalary. It includes constructor(s) and properties to initialize values for all fields.

Create an interface, SalaryCalculate, class that includes two functions: first,CalcYearWorked() function, it takes one parameter (currentyear) and calculates the number of year the worker has been working. The second function, CalcCurSalary() function that calculates the current year salary.

Create a Worker classes that is derived from Employee and SalaryCalculate class.

• In Worker class, it includes two field, nYearWked and curSalary, and constructor(s). It defines the CalcYearWorked() function using (current year – yearStartedWked) and save it in the nYearWked variable. It also defines the CalcCurSalary() function that calculates the current year salary by using initial salary with 3% yearly increment.

Create a Manager class that is derived from Worker class.

• In Manager class, it includes one field: yearPromo and constructor(s). Itincludes a CalcCurSalary function that calculate the current year salary by overriding the base class function using initial salary with 5% yearly increment plus 10% bonus. The manager’s salary calculates in two parts. It calculates as a worker before the year promoted and as a manager after the promotion.

Write an application that reads the workers and managers information from files (“worker.txt” and “manager.txt”) and then creates the dynamic arrays of objects. Prompt the user for current year and display the workers’ and managers’ current information in separate groups: first and last name, ID, the year he/she has been working, and current salary.

**Following is the content of the text files**

________________

manager.txt :

3
Sam
Reza
M000411
1995
51000
2005
Jose
Perez
M000412
1998
55000
2002
Rachel
Pena
M000413
2000
48000
2010

_______________

worker.txt :

5
Hector
Alcoser
A001231
1999
24000
Anna
Alaniz
A001232
2001
34000
Lydia
Bean
A001233
2002
30000
Jorge
Botello
A001234
2005
40000
Pablo
Gonzalez
A001235
2007
35000

Solve problem (P4.2) from the textbook using the following data instead of the data given in the textbook. Solve only requirements under a, b and c. Show your assumptions and consequent calculations on how you catered for the fact that 1997 means first half of the year and 1997.5 means in the second half of the year; without such initial, your solution will not be considered as your own.   (Hint: you may use Excel or any software to conduct linear regression/linear curve fitting. Note also that ‘condition’ should be related to age and not the date).

Show the details of your ‘software’ analysis and calculations.

This is the book Q :

Appearing below is a series of roof inspection condition summaries, where 1 is excellent and 5 is poor. Note that an inspection 1997.5 occurred in the second six months of 1997, whereas 1997 occurred in the first six months of 1997. The roof was replaced in 1985. Answer the questions below. You might use software aids, such as EXCEL or MATLAB, for this problem.
65

a. Estimate an ordinary least squares regression deterioration model of the form: Condition = a + b(age) where age is the age of the roof in years. Report your parameter estimates, standard errors, t-statistics and R^2 values. Note that there is a gap in the data from 1985 to 1996! b. Suppose I have a comparable roof that is 12 years old. What would your regression model in (a) predict for its condition? What would it predict for age 18? At what age is condition expected to become 5? c. Plot the data and your regression line.

course: Infrastructure managment