Homestake Mining Company is a 120-year-old international gold mining company with substantial gold mining operations and exploration in the United States, Canada, and Australia. At year-end, Homestake reported the following items related to income taxes (thousands of dollars).

Instructions

(a)  

What is the significance of Homestake's disclosure of “Current taxes” of $26,349 and “Deferred taxes” of $(39,436)?

(b)  

Explain the concept behind Homestake's disclosure of gross deferred tax liabilities (future taxable amounts) and gross deferred tax assets (future deductible amounts).

(c)  

Homestake reported tax loss carryforwards of $71,151 and tax credit carryforwards of $12,007. How do the carryback and carryforward provisions affect the reporting of deferred tax assets and deferred tax liabilities?

1. Consider the following predicates:

HUMAN(x) – x is a human being

AFRICANAMERICAN(x) – x is an African-American

STUDENT(x) – x is a UMW student

LIKES(p,h) – person p likes hobby h

COURSE(c) - c is a UMW course

REQUIRED(c,s) – c is a required course for student s

NFLTEAM(x) – x is an NFL team

SUPERBOWL(a, n, y) – teams a and n played in the Superbowl in year y

SUPERBOWLWIN(a, y) – team a won the Superbowl in year y

WEARING(p,i) – person p is wearing item i

HIDING(p, f) – person p is concealing fact f from the population at large

DAYFEELSLIKE(d, t) – on day d, I feel like doing activity t

PRESIDENT(x) – x is, or was, President of the United States

Write expressions in predicate logic for each of the following sentences using only the predicates listed above.

1. “There is a course at UMW that every student must take.”
2. “Not every NFL team has made it to the Superbowl.”
3. “Some people like skateboarding and knitting.”
4. “If you wear sunglasses, you’re hiding something.”
5. “Some days, I feel like singing – and on those days, I never feel like crying.”
6. “Barack Obama is the only African-American president in U.S. history.”
7. “There has never been an NFL team that has won the Superbowl 4 years in a row

In this chapter, we are learning about non-communicable diseases (non-infectious), screening related to cost-effectiveness and efficacy, and the associated burden. Questions to ponder are what makes a screening program efficacious? What part does the physician and/or patient play in early detection? What is the cost of pre-testing and has the screening had an effective on health outcomes? Please select two questions below.

Discuss the burden of non-communicable diseases on mortality and morbidity in the United States.

Discuss the ideal criteria for a screening program and explain why.

Discuss why two or more tests are nearly always required to screen for asymptomatic disease. Give an example of a disease/condition and provide the two types of tests.

Discuss the multiple risk factor intervention approach to control a non-communicable disease. Provide an example.

Discuss the meaning of “cost-effectiveness” and provide an example of a screening protocol that exemplifies cost effectiveness and why.

Discuss several ways that genetic interventions can affect the burden of non-communicable diseases. Provide an example in your discussion.

Discuss ways that population interventions can be combined with individual interventions to more effectively reduce the burden of non-communicable diseases and provide an example.

Provide a response to the two selected questions based on your readings. Your response must be atminimum one paragraph (five sentences per paragraph) in APA format (in text citations and bibliography)

According to Nielsen Media Research, the average number of hours of TV viewing per household per week in the United States is 50.4 hours.
1 (a) Suppose the population standard deviation is 11.8 hours and a random sample of 42 U.S. household is taken, what is the probability that the sample mean TV viewing time is between 47.5 and 52 hours?
1 (b) Suppose the population mean and sample size is still 50.4 hours and 42, respectively, but the population standard deviation is unknown. If 72% of all sample means are greater than 49 hours, what is the value of the unknown population standard deviation?
1(c) What is the result of part (a) if the sample only consists of 5 households? Explain.


The average age of online consumers ten years ago was 23.3 years. As older individuals gain confidence with the Internet, it is believed that the average age has increased. We would like to test this belief.
2(a) Write the appropriate hypotheses to be tested.
2(b) The online shoppers in our sample consisted of 40 individuals, had an average age of 24.2 years, with a standard deviation of 5.3 years. What is the test statistic and p‐value for the hypotheses being tested in part (a)? (Remark: Report the p‐value using the statistical table, but NOT Excel function.) 2 (c) What is the practical implication of the conclusion of the hypothesis test at i. 5% level of significance, and ii. 10% level of significance?

In its user service agreement, Facebook includes a forum selection clause that requires users with legal disputes to file any lawsuits against Facebook in courts physically located near its northern California corporate headquarters. Review the discussion of this issue in your textbook (Legal Strategy 101, pp. 100-101); then, analyze the following questions:

1. Is forum shopping ethical? What are you using as your ethical standard?
2. Should courts enforce forum selection clauses in business-to-consumer contracts like the Facebook user agreement? Why or why not?
3. Suppose Facebook did not have a forum selection clause in its user agreement. Would Facebook be subject to the jurisdiction of every state court in the United States, since it has millions of users in every U.S. state?

This assignment requires that you analyze both a legal concept (forum shopping) and its application in a business contract (forum selection clause). Read the course material and the assignment carefully, and do not confuse or conflate the two.

Refer to the Assignment Instructions folder of the course for general directions and grading rubrics for Discussion Boards, including requirements for word length, scholarly sources, and integration of a Biblical worldview.

Use the words "Ethical" or "Not Ethical" in the subject line of your thread to identify your conclusion. Do not use attachments, as these are cumbersome and inhibit the discussion process.

Major health studies try very hard to select a sample that is representative of the various ethnic groups making up the U.S. population. Here is the breakdown, by ethnicity, of subjects enrolled in a major study of sleep apnea:

The known ethnic distribution in the United States, according to census data, is as follows:

a. We want to know if the data from the sleep apnea study support the claim that the ethnicity of the subjects fits the ethnic composition of the U.S. population. What does the null hypothesis for this test state?

1. All five counts are equal.
2. All five sample proportions are equal.
3. All five population proportions are equal.
4. All five population proportions are equal to their respective U.S. census proportions.

b. What is the expected count of Hispanics under the null hypothesis (show calculation)?

a. 277

b. 25.207

c. 572.754

d. 152.72

c. At significance level alpha = 1%, what should you conclude

1. a. composition of the U.S. population.
2. b. The data are consistent with a uniform distribution of ethnicities.
3. c. The data prove that the population studied matches the ethnic composition of the U.S. population.
4. e. We are unable to conclude anything because the test assumptions are not met.

Each year a market research company surveys new car owners 90 days after they purchase their cars. This data is used to rate auto brands (such as Toyota and Ford) on quality and customer satisfaction. Suppose the following were the quality rating and satisfaction scores for all 33 brands sold in the United States.

A)

Compute the value of the correlation coefficient. (Round your answer to three decimal places.)

r =  

Answer A!...

High Country, Inc., produces and sells many recreational products. The company has just opened a new plant to produce a folding camp cot that will be marketed throughout the United States. The following cost and revenue data relate to May, the first month of the plant’s operation:

Management is anxious to assess the profitability of the new camp cot during the month of May.

Required:

1. Assume that the company uses absorption costing.

a. Determine the unit product cost.

b. Prepare an income statement for May. Assume that the company uses absorption costing.

2. Assume that the company uses variable costing.

a. Determine the unit product cost.

b. Prepare a contribution format income statement for May.

Prepare a contribution format income statement for May. Assume that the company uses variable costing.

In this project, you will collect data from real world to construct a multiple regression model. The resulting model will be used for a prediction purpose. For example, suppose you are interested in “sales price of houses”. In a multiple regression model, this is called a “response variable”. There are many important factors that affect the prices of houses.

Those factors include size (square feet), number of bedrooms, number of baths, age of the house, distance to a major grocery store. The factors (or variables) which are used for a multiple regression model are called “explanatory variables” (or “independent variables”). Good choice of explanatory variables is one of the most important steps to construct a good multiple regression model. www.zillow.com, One of the most recognized realtor website in United States, provides predicted prices (“zestimate”) of houses. Now the goal of the project is to construct your own prediction model of house prices. The first step of the project is to decide which explanatory variables you will use. In this project, please find at least four explanatory variables.

Next step is data collection. You are required to collect at least 100 observations (samples). Otherwise, you will not get full credits. Each observation must include sales value and all the values of explanatory variables of your choice. For example, if your explanatory variables are size, number of beds, number of baths, and age of houses, then the data set must be of the following form

The Cotton Mill is an upscale chain of women's clothing stores, located in the southwestern United States. Do to recent success, The Cotton Mill's top management is planning to expand by locating new stores in other regions of the country. The director of planning has been asked to study the relationship between yearly sales and the store size. As part of the study, the director selects a sample of 25 stores and determines the size of the store in square feet and the sales for the last year. The sample data follows.

Store size (1000s of square feet)        Sales ( millions of $ )

     3.7                                                9.18

     2.0                                                4.58

     5.0                                                8.22

     0.7                                                1.45

     2.6                                                6.51

     2.9                                                2.82

     5.2                                               10.45

     5.9                                                 9.94

     3.0                                                 4.43

     2.4                                                 4.75

     2.4                                                 7.30

   0.5                                                 3.33

   5.0                                                 6.67

   0.4 0.55

   4.2 7.56

   3.1 2.23

   2.6 4.49

   5.2 9.90

   3.3 8.93

   3.2 7.60

   4.9 3.71

   5.5 5.47

   2.9 8.22

   2.2 7.17

   2.3 4.35

Using store size as the independent variable, run the data using excel and answer the following: 1. Write the regression equation. 2. Interpret the regression constant and regression coefficient. 3. Forecast a value for the dependent variable. 4. Test the significant of the regression coefficient using alpha = .05. 5. Test the overall significant of the regression model. 6. Interpret the coefficient of determination.