Statistical Evaluations

Select 2 of the 4 data sets/reports below, evaluate the information, and answer the questions on this worksheet. Note: After completing this document, save it to your computer. You will submit the completed document for the Unit 4 Application Assignment.

SECTION 1: To complete the questions in this section, download the Death in the United States, 2010 document in the Week 4 resources.

Using basic statistical terms and definitions, explain why a comparison of variance over a 10-year period has more validity than a comparison of a year-to-year basis.

Read the “Data source and methods” section on page 6 of the Death in the United States, 2010 document. Explain how collecting data in the method described may skew the data one way or another—that is, make it less accurate than the real life it purports to reflect.

Their death rates were based on population estimates, 98 percent came from medical files and about 100 percent were from demographic files. It’s inflated to better estimate their final numbers using independent record tallies as control factors.

From the percentage of deaths within an age group indicated in the pie charts on page 4 in the Death in the United States, 2010 document, are you more likely to die from cancer or heart disease if you are in the 45–64 age group or in the 65 or older age group? Explain your answer. Interpret why this is so.

From the chart looks like the age of 65 and over has a higher percentage of heart disease 27 percent whereas the age group 45-64 only had 21 percent. On the flip side age group 45-64 had a higher cancer percentage 32 percents and 65 and older was 22%.

I guess cancer because of how long cigarettes have been violating our environment and most people that at any age I am guessing are smokers or can be a a matter of second hand smoke .

Is there evidence to support the claim that while the infant mortality rate [IMR] had its single largest drop between 2009 and 2010, the rate of decrease in the IMR is slowing down in the two decades indicated in Figure 5? (See page 5 the Death in the United States, 2010 document.) Explain your answer.

Of course there were less infant deaths and noted a large increase in non Hispanic black males and females and Hispanic females. There were less death causes like heart disease, cancer and stroke to name a few.

Can you support the statement that the older you get the less likely you are to die suddenly or cause your own death? What data would you use to support this?

The older you get you are more likely to die of something, I have never heard of it before.

SECTION 2: To complete the questions in this section, download the Employment Projections and the Education, Job Openings, and Unemployment in Metropolitan America documents in the Week 4 resources. Examine the employment statistical data that show the more education you have the less unemployment occurs:

Which of the following scenarios makes the greatest difference in your yearly income and reducing your likelihood of being unemployed: 1) Going from an associate’s degree to a bachelor’s degree or 2) Going from a bachelor’s degree to a master’s degree? Explain your answer.

From what I read in the examples given it really depends on where you live at. What the demand calls for. For instance the example had given the cities that had a higher demand for a bachelors degree or higher, and the cities you can live where the demand may be different.

In what ways do these two studies support the adage “A rising tide lifts all boats” when it comes to education and unemployment?

When all is good every one will reap the benefits.

Just as the axiom that states, “old is 15 years older than you are,” being rich is a relative term. If you were a 20-year-old without a high school diploma, what academic path might you take to triple your weekly income? Where would be a good place to live once you complete your education? Explain your answers.

I would enroll in day classes at a local business school to assure I have some backening.If this were me, I would choose one of the top cities to live in for a person to launch their own business. My business of choice would be my own cleaning / make ready business. This is the fastest way for quick money, and besides people move everyday.

Using Table 1 on page 8 of Education, Job Openings, and Unemployment in Metropolitan America and the Employment Projections chart, predict a salary of a person who is a “Supervisor of Sales Workers.” Based on the level of education for the group, is it more or less likely for a supervisor of sales workers to be unemployed compared with a “Health Diagnosing and Treating Practitioner”?

Less likely or more openings for Health Diagnosing than Supervisor, whom is more likely to be unemployed.

SECTION 3: The Economics of Sports

To answer the questions in this section, visit the Walden Library to read the following article:

· Baade, R. A., Baumann, R. W., & Matheson, V. A. (2011). Big men on campus: Estimating the economic impact of college sports on local economies. Regional Studies45(3), 371–380. Retrieved from the Walden Library databases.

In the article introduction, the authors give figures on the University of Minnesota’s new stadium that was built for the football team. “Although the precise line between what constitutes state and university funds is admittedly unclear when dealing with a public university, at least 55% of the new stadium was paid for with designated state funds (Baade, Baumann, & Matheson, 2011, p. 372). What is meant by the underlined phrase? Why can this not be determined precisely?

Explain why the authors used a non-sports–related event such as Hurricane Andrew to include in the comparisons of tables 3, 4, 5, and 6. Is this necessary? Is this an appropriate use of the data when focusing on the economic impact of sports in an area?

After analyzing tax revenues throughout the state in comparison with the local area during football and basketball games, the authors state the following in the conclusion:

The present regression analysis of taxable sales in Florida between 1980 to early 2007 fails to support these claims. Men’s basketball games at Florida State University and University of Florida were found to have no statistically significant impact on taxable sales in Tallahassee and Gainesville, respectively, and indeed, the coefficient on the variable was even negative in two of the four models (Baade et al., 2011, p. 372).

What is meant by “statistically significant impact?” Is there money to be made on sports teams in these college towns? Who makes the money?

You sit on a task force created to deal with an unemployment problem in these cities. Should the local community encourage the universities in these two towns to have more major sporting events as a strategy for growing the city economy? Why or why not?

SECTION 4: Prisoner Incarceration in the United States

To complete the questions in this section, download the Correctional Populations in the United States, 2011 document in the Week 4 resources.

Figure 1 on page 1 of the document indicates that the span of the data is an 11-year period, yet only 7 years are represented in the vertical column. Does this have an impact on the validity, accuracy, or ability to compare the data? Why or why not? Based on appropriate use of statistical data, evaluate the following statements:

Based on incarceration rates, Guam is the safest U.S. Territory or commonwealth in which to reside. [Appendix Table 2, p. 8]

Based on the number of prisoners held by that branch of the service and those sentenced to more than 1 year of incarceration, the Marine Corps has made significant strides in more lawful behavior while the Coast Guard has doubled the rate of serious criminal activity.

Using Table 3 and the narrative on page 4, evaluate the following statement: Between 2010 and 2011, the judicial system moved closer to reducing the total expenditures on incarceration in this country.

Provide some interpretation of the following data. The US Census Bureau states the population in the United States in 1980 was ~228 million and in 2008 was ~304 million. Using the Table 1 graph, it is estimated that the “Total population under the supervision of adult correctional systems” was ~2 million in 1980 and ~7.3 million in 2008.

© 2014 Laureate Education, Inc. Page 1 of 4

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