review the Major Assignment #1 description. Attached to the assignment description are 5 Excel spreadsheets, each of which offer data related to the state of American health. You will see spreadsheets on death rates, life expectancy, infant mortality, cancer, and overweight/obesity.

For weekly assignment #6, you will need to interpret each of the spreadsheets and provide me with a concise thesis statement that conveys the overall meaning of each of the spreadsheets.  For instance, the spreadsheet on death rates may show an overall trend in terms of the decrease in deaths due to the listed causes.  But the data may also reveal that some of these causes of death may not be decreasing or may not be decreasing at the same rate as the others.  It may also show that even though the causes may be decreasing, a high rate of deaths still result from specific causes.

For this weekly assignment, your primary task is to get a clear and comprehensive understanding of what the data in each of the 5 spreadsheets mean. Do not worry about constructing any corresponding graphs at this point.  

All you need to submit for this weekly assignment is an outline that mirrors the structure I offer in the attachment.

I should see from you 5 statements, each identifying what you perceive as the general trend shown in each spreadsheet.  Below these 5 statements, I should also see any deviations from the trend identified in the thesis statement. Recognize that some of the spreadsheets may not have any deviations, meaning that the general trend you see applies to all of the data. 

The life expectancy spreadsheet may present some questions.  It is split into two groups, with the first group of data showing the life expectancy of someone who was born in the listed years.  For instance, a male born in 1970 is expected to live to  67.1.  A male born in 2006 is expected to live to 75.1.  The second group of data shows the life expectancy of those who have reached the age of 65.  For example, if a male reaches the age of 65 in 1970, he would be expected to live for 13 more years.  If a male reached the age of 65 in 2006, he would be expected to live for 17 more years.  You should see that both of these groups of data offer similar statements and interpretations with respect to life expectancy.

One other spreadsheet that you will need to look closely at is the data on obesity and overweight.  Look carefully at this data since it offers a range of categories.  The first set of data pertains to children and adolescents ages 2-19, and the data for these ages simply pertains to overweight.  The other data looks at adults, ages 20-74, but that data includes overweight including obese, overweight but not obese, and obese.  So this spreadsheet offers a range of data, meaning that it might be difficult to find one trend that can cover the range of categories. So in this case, you may have to offer more than one general trend.

As always, if you have questions let me know.  What you want to focus on in this weekly assignment is simply generating an accurate interpretation of the spreadsheets. In many ways, you are offering a summary of the data by way of the outline you will submit. You have been summarizing information throughout your time in college; the only difference in this assignment is that you are being asked to summarize quantities. 

As you work through the data, you may recognize some gaps in some of the dates.  Don’t worry about missing data. Focus on the data that is available to you in the spreadsheets.

Also, remember the purpose of the document.  You are attempting to give readers an indication of how things are in 2006. Therefore, you should look at the data and ask yourself are things getting better or worse in 2006 and to what degree. So as you look for deviations, don’t worry about a change that may occur, for instance between 1995-1997. That deviation for that particular year will not offer readers insight as to how things are in 2006. When you look for deviations, identify those that pertain to 2006. If the general trend is that things are getting better in 2006, then are there any indications that some things may not be showing the same level of positive change? Use the data in the spreadsheets to give readers an informative understanding of how American health looks, at least from the data categories you have available, in 2006.