Assignments

Topic of assignment should be in relation to healthcare and rising cost.

Assignment 1:

The purpose of the Signature Assignment is to have you work with real-life data to answer a real-life question using the tools, technology, and skills of MTH/219. In the first week, you must develop a question that can be answered with numerical data and that spans over at least ten years. For example, "How has the population of the world changed over the past 50 years, and when will the population be unsustainable?"

In a Microsoft Word document, write the topic/question you are addressing, where you plan to find your data even if it is one of the below sources, and why you chose this topic. Your paper should be 30 to 45 words long. You can either choose a topic from the Student Topics and Questions List or can create your own. If you chose to create your own, you must get instructor approval.

Here is a list of possible data sources to find your data:

• Healthcare data
• Educational data
• Criminal data

1. Select the type of table under Law Enforcement or Incarcerations.
2. Select year
3. Then select the type of data you are looking for from the dropdown menus and click on the Microsoft Excel table, which will automatically download on your computer.

• Mortgage data
• Census data (Population, economy, business, education, employment, health, housing, income, trade)
• UN data (income, trade, religion, health, poverty)
• Health data
• Globalization, health, and agriculture data
• UCR data (crime)

You may choose to find data elsewhere, but you must get it approved by your instructor. It is very important the data you collect meet the following requirements:

1. It has data from a trusted/peer-reviewed source that is numeric per year.
2. You can collect at least ten data points (data over at least ten years old).
3. Your question can be answered with the data.

Assignment 2:

The purpose of the Signature Assignment is to have you work with real-life data to answer a real-life question using the tools, technology, and skills of MTH/219. In Week 2, you will work with the data you collected to analyze the data to draw conclusions.

Review the instructional video on how to use regression in Microsoft Excel.

Input your data into Microsoft Excel (data and years).

Create a scatterplot.

Insert a linear trendline. Make sure to show the equation and the R-square value. Also, make sure you label each axis and give a title to your graph. If you need help creating your visual, watch How to create scatterplot with trendline in Excel.

In the same Microsoft Excel worksheet, answer the following questions. Each question should be 90 to 175 words.

1. Does the line fit the data? How can you tell?
2. What does the slope of the line mean in your real-life data? How can you interpret the slope of your line?
3. What does the y-intercept mean in your real-life data? How can you interpret the y-intercept?