You will be performing an analysis on a dataset that contains data on fertility and life expectancy for 198 different countries. All data is from the year 2013. The fertility numbers are the average number of children per woman in each of the countries. The life expectancy numbers are the average life expectancy in each of the countries.

You will be turning in a paper that should include section headings, graphics and tables when appropriate and complete sentences which explain all analysis that was done in addition to all conclusions and results. There is not a specified length, however it is important that you follow all steps below and grade yourself using the rubric provided since it is the rubric that I will be using to grade your submissions. All work should be your own. Plagiarism will result in a project score of 0.

Steps (all statistical analysis to be done in Excel and/or StatCrunch):

Watch the TED talk by Hans Roling titled “The best stats you’ve ever seen”. You will need to include comments on this in your paper. Here is a link: http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen?language=en

Create histograms of each of the variables (one histogram for fertility, one for life expectancy). Use the histograms to identify the shapes of the distribution. StatCrunch will be the easier tool to use for this particular task.

Calculate some descriptive statistics for each of the variables, including but not limited to the mean, median and standard deviation. Organize these numbers nicely in a table.

Using fertility as the predictor variable and life expectancy as the response variable, create a scatter diagram, come up with the least-squares regression line and calculate the linear correlation coefficient as well as the coefficient of determination. Make sure that you understand all interpretations and include them in your paper. Please carefully review the rubric below to see the full list of required interpretations.

Use the regression line to predict life expectancy for the United States given fertility and then compare this to the actual value in the United States.

Name some possible lurking variables that may be at work here.

Explain the difference between correlation and causation and why we cannot say that there is a cause and effect relationship in this situation.

Explain why we cannot use our regression model to predict the life expectancy of one particular individual.

Take a look at the website where this data was pulled from and comment on how the model might have been different if we used the data from 20, 40 or 60 years ago. Navigate to http://gapminder.org and click on “Gapminder World”. Use the x-axis and y-axis dropdown menus to ensure that ‘life expectancy (years)’ is selected on the y-axis and ‘children per woman (total fertility)’ is selected on the x-axis.

Put everything together into an organized paper and submit !!!

Assume you are working at UN, at a department advising countries on policies to reduce gender inequality. Write a policy states around the world may use in order to prevent or reduce gender discrimination in the labor market and explain it

What is the most troubling aspect (biggest weakness) of the electoral college system? What happens if no candidate wins a majority of the electoral votes? Why are small-population states more likely to support the electoral college system?

What are the ethical and moral issues that present themselves when communities/cities/states choose to address or not address the health needs of the underserved populations? Choose one of these populations and discuss what resources may be available to them.

Explain what is meant by the term statistical weight of a configuration. Calculate the statistical weight of a configuration in which six molecules are equally distributed among three energy states.

Write them clearly please thank you

JC looks at the prescription for Flexeril and States I'm glad you didn't give me that Valium. they gave me Valium last time and that stuff knocked me out how would you respond to JC

The law of one price states that securities that have the same cash flows must have the same price, otherwise you could create an arbitrage opportunity. How is this used to demonstrate the put-call parity relationship?

The definition of epidemiology includes all of the following, EXCEPT:

a. study of determinants.

b. study of disease frequency.

c. study of disease patterns.

d. health-related states or events.

e. All of these are included in the definition of epidemiology.