3,500 women between the ages 60 -74 years are in a town consisting of a population of 15,000 persons. 85 cases of cancer are in the town one year and 30 of these cases were women 60 -74 years old. What is the prevalence of cancer among women of this age group?

Hospital chain HCA relied heavily on revenue growth in its effort to take the firm private. On July 24, 2006, management again announced that it would “go private” in a deal valued at $33 billion, including the assumption of $11.7 billion in existing debt. Would you consider a hospital chain a good or bad candidate for an LBO? Explain your answer.

Note: * = p < .05

A) What is the proportion of variance in variable 1 that is predicted by variable 3?

B) What is the proportion of the variance in variable 2 that is not predicted by variable 4?

What are the steps I need to take to solve this problem?

The following are the grades of 27 students in a statistics exam: 20 28 42 51 54 55 56 57 9 61 62 63 64 65 67 68 69 71 74 75 76 77 79 81 84 86 100 a. The number of classes is 5, construct a frequency table. b. Draw a histogram. c. Construct stem and leaf diagram

A2. Imagine that the following events occurred in the period between 2004 and 2008.  EU adopted new trade restrictions (such as higher tariffs) on Chinese products and reduced the annual rate of growth of their money supply from 5% to 3%.

 Over the same period of time, Chinese trade policies and the Chinese monetary supply remained stable.

Consider these changes in a long run framework with flexible prices (i.e. PPP based theories with the real exchange rate extension apply). How do you expect the real & nominal exchange rates between the EU and China to be affected by these events, i.e. how would they change over this period? Explain using the relevant model, graphically (e.g. time paths of relevant variables) and verbally.

According to Dewey, what are the three natural resources that contribute to the training of thought?

Write your responses in complete sentences. Each answer should be two - three paragraphs (150 – 250 words) in length.

1. What is Marginal Revenue? For both Perfect Competition and Monopoly, explain the relationship between marginal revenue and demand.

Analyze if the statements that are presented below are True or False. You MUST justify your answer to get credit. Answers without justification (even if they are correct) will be given zero marks.

1. (a) In any Pareto-optimal allocation of a two-good economy, each consumer has to consume a positive amount of both goods.

2. (b) A monopolist never produces on the elastic segment of its average revenue curve.

3. (c) If a firm’s production exhibits increasing returns to scale, then the firm’s marginal costs are decreasing and below its average costs.

4. (d) Maroon Theater practices third-degree price discrimination and sells tickets to three groups of customers: students, regular customers and senior citizens. The inverse demand of the three groups is linear. Furthermore, the students’ and senior citizens’ elasticities of demand for tickets are −4 and −3, respectively. Because the price charged to regular customers is greater than the price charged to senior citizens, we know with certainty that the ticket price for students will be lower than the ticket price for regular customers.

The following data were recorded as part of a study on sustainable farming techniques that took place in Boone County, IA. (Davis, Adam S. et al. Increasing Cropping System Diversity Balances Productivity, Profitability and Environmental Health. PLOS ONE. October 10, 2012. DOI:10.1371/journal.pone.0047149) Means are for the April-November growing seasons.

(1): Construct a two-way scatter plot for “air temperature” against the “total precipitation” and on a separate graph construct a two-way scatter plot for “air temperature” against “log of total precipitation”. Looking at the two graphs you plotted, explain as to which of these two do you consider to be closest to a linear relationship?

(2): At the 0.05 level of significance, test the null hypothesis that the (“air temperature” and the “total precipitation”) population correlation coefficient [ρ] is equal to 0.

(3): Compute the equation of the linear regression relationship between the “air temperature” and “total precipitation”.