The ultimate expression of freedom in the United States is the right to vote. This right is deeply treasured by many Americans, but there are those that take the process for granted. How is my vote counted? Do I have fair representation in Congress? Does my vote make a difference? These are the kinds of questions a concerned citizen must ask when considering the voting process.

There are a number of different methods for counting votes used around the world ranging from majority rule to the constitutionally mandated electoral college used to determine the US presidency. In order to explore the complexities of the voting process and methods used to assure fairness, let’s examine the following scenario:

In the near future, Congress and the states will abolish the process of voting at the polls in the United States. Instead, all citizens will cast their votes via an approved and secure smartphone app.

In your post, address the following questions:

  • Describe what changes you anticipate this would make to the accuracy, documentation, expense, and convenience of the voting process.
  • What method of fairness do you feel would be best suited to counting the votes in this process: majority rule or some other variation?
  • Explain whether this method of voting could be considered truly secure.
  • What are some unintended consequences that could arise from this method of casting votes?

When constructing your response, consider the theories, examples, and concepts discussed in your readings this module, and refer to them to support your conclusions.

Write your initial response in a minimum of 200 words. Apply APA standards to citation of sources.

By the due date assigned, post your response to the appropriate Discussion Area. Through the end of the module, review the postings of your peers and respond to at least two of them. Consider commenting on the following:

  • If this smartphone voting method was based solely upon the majority-rule method of voting, how could citizens ever really know if they are being fairly represented by elected officials?
  • Based upon what you’ve learned this module, is voting as straightforward as the general public might think?art

Assignment 2: LASA 1: Linear Regression

In this assignment, you will use a spreadsheet to examine pairs of variables, using the method of linear regression, to determine if there is any correlation between the variables. Afterwards, you will postulate whether this correlation reveals a causal relationship (and why).

Click here to open the Excel spreadsheet containing the data for this assignment.

This spreadsheet contains the data from a study that attempted to see if there is a correlation between the hours that students studied and the grade that they earned on a test. The correlation test you are about to run will help you to determine if there is, in fact, a correlation between study time and test score. If you find a strong correlation, then you will postulate whether you feel this indicates a causal relationship.

Below are instructions on how to perform this correlation test in Microsoft Excel.

In the Excel spreadsheet, perform the following operations:

  1. Save the spreadsheet to your computer.
  2. With your mouse, highlight all of the data on the spreadsheet in columns A and B.
  3. In the tabs at the top of the page, click Insert.
  4. In the Insert ribbon, in the Charts section, click Scatter. Be sure to select the option where it will just plot dots, it will be called Scatter with only Markers. If you do this right, then you’ll see a chart on the page.
  5. Now, on the chart, right-click on one of the data points (dots). Just pick a dot somewhere near the middle of the distribution.
  6. Select Add Trendline from the drop-down menu that appears when you right-click on a dot.
  7. A new menu will appear. Select Linear, select Automatic, and click the boxes next to Display Equation on chart and Display r-squared value on chart.
  8. Click Close.
  9. Now, you should see a line drawn through the dots. It will roughly cut through the middle of the dot distribution.
  10. You’ll also see the linear regression equation and r2 value displayed next to the line.

To see an example spreadsheet containing a completed analysis click here.

Now that you’ve completed your analysis and determined the linear regression formula and r2, it is now time to report on the results of your study and examine your findings.

In a Microsoft Word document, respond to the following:

  1. Report the sample you selected and the question that was explored in the study.
  1. Report the r2 linear correlation coefficient and the linear regression equation produced in the Excel spreadsheet.
  1. What would be the value of Pearson’s r (simply the square root of r2)?
  1. Would Pearson’s r be positive or negative? What does this imply about the relationship between the factors in this study?
  1. What is the implication of any correlation found between the variables in the study you picked?
  1. Does this correlation imply a causal relationship? Explain.
  1. Are there other variables that you think should have been examined that would have improved this study or helped to pinpoint what factors are causal?

For this assignment, you will submit a spreadsheet and a report. The spreadsheet will be the Microsoft Excel file containing your scatterplot and analysis. Name your Microsoft Excel file as follows: LastnameFirstInitial_M3_A2.xls. EXCEL WORKSHEET IS ATTACHED

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