In response to a variety of expected environmental changes in your industry, your business has decided to change its organizational structure to be more consistent with a new strategy for increased competitiveness. They plan to move from a mechanistic model of organization to a flatter, more organic structure with an emphasis on self-managing work teams. Needless to say, these are significant internal changes, not to mention the external changes which are bound to occur as well. Using what we have learned from our readings:

• What resistance to the changes do you expect and why?
• How would you advise key decision-makers on the best ways to successfully affect the planned changes?
• Share any personal experiences and cite all resources.

according to the US census bureau, the population of the US seniors65 and older, in the year 2004 was approximately 36,300,000 people. In the year 2010, it was 40,267,984 people. the senior population was growing at an approximately constant rate during this period.

(a)use this information to express the US senior population as a function of time since the year 2000.

(b) what is slope of your function? what does this mean in the context?

(c) what would this model indicate that the US population of seniors was in the year 2000? ( The actual population in that year was approximately 34,991,753)

(d) what does this model predict the US population of seniors to be for the 2020 census? Do you think this will be an overestimate or underestimate and why?

(e) when does your model predict the US population of senior to be 45,500,000 people?

The UW student-athletes on the women's teams compete in various NCAA-I sports. Each team may be regarded as a random sample of all the NCAA-I athletes in that sport. The 14 players listed on the roster for the 2004-05 Women’s Basketball team had an average height of 69.67 inches with a standard deviation of 3.47 inches. Give a 99% confidence interval for the average height of NCAA-I women’s basketball players in that year. Write a one or two sentence summary in non-statistical language to describe what you have found, not how you found it. Your audience is people who have never had a statistics class (think of middle of the road 8th graders, not the really bright ones).

Starting on September 1, 2000 - the day he starts college - and ending on September 1, 2004, Craig borrowed $6500 a year to pay for college expenses (i.e. that's 5 withdrawals total).
After graduation, he decided to go to graduate school in mathematics, and his loans were deferred (i.e. they accrued interest, but no payments were due). After finishing graduate school, he began repaying his loans. Beginning on July 1, 2007, he made monthly payments for 8 years. Each payment increased by 2.6% over the previous payment. If his loans had a fixed nominal rate of 6% convertible monthly for the entire life of the loans, what was the size of his first payment?

Answer = $

Starting on September 1, 2000 - the day he starts college - and ending on September 1, 2004, Craig borrowed $4000 a year to pay for college expenses (i.e. that's 5 withdrawals total).
After graduation, he decided to go to graduate school in mathematics, and his loans were deferred (i.e. they accrued interest, but no payments were due). After finishing graduate school, he began repaying his loans. Beginning on July 1, 2007, he made monthly payments for 11 years. Each payment increased by 1.5% over the previous payment. If his loans had a fixed nominal rate of 6.6% convertible monthly for the entire life of the loans, what was the size of his first payment?

PHC261

The 2.4 billion working people in the developing countries often have to endure employment conditions, which do not meet even basic occupational safety and health (OSH) standards. The lack of work safety, excessive workloads, and occupational physical, chemical and biological exposures result in occupational diseases, injuries and as many as 1.2 million fatalities each year. Furthermore, as little as 15% of workers in the developing countries have access to occupational health and safety services.” (Rantanen et al., 2004).

In your own words, to what extent do you agree with the information provided by the quote above? Support your argument by giving further details about developing and developed countries with examples of the services. (250 words)

1. Find the SSE for the given data and linear models, and indicate which model gives the better fit.

(2,4) (6,8) (8,12) (10,0)

1. Y = - 0.1 x + 7                        SSE = ________
2. Y = - 0.2 x + 6                        SSE = ________
3. The better fit is          Y = __________________

2. The following table shows the average price of a two-bedroom apartment in downtown New York City from 1994 to 2004 (x=0 represents 1994)

find:

x = ______              y = ______             xysum of = ______          

x2 = ______            y2 = _______       

Regression line: ___________________________

Correlation Coefficient (2 decimal places): ____________

Using the regression line, what would be the price for 2007? ________

People tend to evaluate the quality of their lives relative to others around them. In a demonstration of this phenomenon, Frieswijk, Buunk, Steverink, and Slaets (2004) conducted fictitious interviews with frail elderly people. In the interview, each person was compared with others who were worse off. After the interviews, the elderly people reported more satisfaction with their own lives (the hypothetical data are reported below). The scores are measures on a life satisfaction scale for a sample of n = 9 elderly people who completed the interview are: 18, 23, 24, 22, 19, 27, 23, 26, 25.

Assume that the average score on this scale is m= 20. Are the data sufficient to conclude that the people in this sample are significantly more satisfied than others in the general population? Use a = .05.

Part II: Causes

A.

Consider whether each of the following relationships is a causal relationship or merely a correlation.

Discuss how you would go about verifying which type it is. (10 points)

1. There has been an increase in the number of twins being born and a later age of marriage in the past

decade.

2. During the past decade there has been a decrease in the size of the Greenland ice cap and an increase in

the number of twins being born.

3. People who are members of a religious organization tend to be happier.

4. Jason drank nine bottles of beer at the party and is having trouble walking straight.

5. Almost all the animals that could flee to higher ground did so shortly before the tsunami struck Indonesia in

2004.

You are the manager of Coca-Cola and are facing the effect of a research (published in 2004) that reports that consuming high fructose corn syrup (HFCS) is associated with promoting obesity. Consider the number of news reports and the number of other research papers on this topic that have been published since 2004. This issue is relevant to you because HFCS is the sweetener used in soft drink manufacturing. Then, you are to:

1.1  Define the own price elasticity of demand.

1.2  Write out a nonlinear demand equation for Coca-Cola that includes the appropriate demand shifters. Based on economic theory, attach the appropriate sign to the coefficient on each right hand side variable.

1.3  Given the number of news reports and other research papers that focus on the positive relation between HFCS and obesity, explain how this is represented by the demand equation for Coca-Cola.

1.4  Use economic theory to explain the meaning of the coefficient on each explanatory variable.

1.5  What would you do to offset the effect of the HFCS-obesity research on the demand for Coca-Cola? Based on economic theory explain your decision. Explain if your decision is working.

1.6  Would you increase or decrease price to boost Coke sales? Based on economic theory, explain your choice.

1.7  Based on economic theory, explain how Coke’s advertising would affect the demand for Pepsi.  

1.8  Based on economic theory, explain why you would spend a lot of money on.

1.9  What is the effect of population on consumption of Coca-Cola?  

1.10 Assume that consumers are worried about the positive relation between consumption of HFCS and obesity, so consumers may increase bottled water consumption. Explain the effect of this on the demand for Coca-Cola. Is the cross price elasticity of demand between Coca-Cola and bottled water negative of positive, explain?