Option #1: Statistical Analysis for an Automobile Research Firm

Your organization, a consumer automobile research firm, wishes to analyze data from a study of fuel economy among the major automobile models to determine how the variables in the data set correlate with fuel economy. You are tasked with developing a better understanding of the variables in the CARS data set. Management wants you to explore this data set to determine if the data is suitable for use in the next phase of their upcoming analytics project.

You are required to conduct two analyses for this assignment.

  1. Statistical Analysis
    • Use SAS University Edition to conduct these statistical tasks:
      • Summary statistics:
        • Use MSRP, Invoice, MPG-City, and MPG-Highway as your analysis variables.
        • Use Make as your classification variable.
      • Distribution analysis:
        • Use MSRP, Invoice, MPG-City, and MPG-Highway as your analysis variables.
  • Note:
    • Statistical tasks are located under Tasks and Utilities > Tasks > Statistics.
    • The data set can be found in Libraries > SASHELP > CARS.
  1. Cluster Analysis
    • Conduct the following cluster analysis task:
      • Cluster variables:
        • Determine which variables, if any, appropriately cluster the variables to account for variability.
        • Limit your analysis to 10 clusters.

Submit an analysis of each of the variables used (MSRP, Invoice, MPG-City, and MPG-Highway). Include any tables, histograms, or scatterplot graphs necessary to support your analysis. Also, based on the cluster variables analysis, which variables, if any, can function as cluster variables? Provide tables, histograms, and other graphs to support your conclusion.

The final analysis report must meet the following requirements:

  • Be 4-6 pages in length, not including the cover and references pages.
  • Follow the CSU-Global Guide to Writing & APA (Links to an external site.). Your paper should include an introduction, a body with at least two fully developed paragraphs, and a conclusion
  • Be clearly and well written using excellent grammar and style techniques. Be concise and logical. You are being graded, in part, on the quality of your writing. If you need assistance with your writing style, you can find many writing resources in the CSU-Global Writing Center (Links to an external site.).
  • Be supported with at least three peer-reviewed, scholarly references, and one citation from the course textbooks. You may also include references from credible sources in print and from the Internet. The CSU-Global Library (Links to an external site.) is a great place to find these resources.

Refer to the Critical Thinking Assignment rubric in the Module 6 folder for more information on the expectations for this assignment.

Option #2: Analysis of Earthquake Research for an Emergency Assistance Organization

Your company, an emergency assistance organization, wishes to analyze data from a study of earthquakes around the globe to determine if the longitude and latitude are accurate variables to justify more emergency services in certain locations. You are tasked with developing a better understanding of the variables in the QUAKES data set. Management wants you to explore this data set to determine if the data is suitable for use in the next phase of their upcoming analytics project.

You are required to conduct two analyses for this assignment.

  1. Statistical Analysis
    • Use SAS University Edition to conduct these statistical tasks:
      • Summary statistics:
        • Use Longitude, Latitude, Depth, and Magnitude as your analysis variables.
      • Distribution analysis:
        • Use Longitude, Latitude, Depth, and Magnitude as your analysis variables.
  • Note:
    • Statistical tasks are located under Tasks and Utilities > Tasks > Statistics.
    • The data set can be found in Libraries > SASHELP > QUAKES.
  1. Cluster Analysis
    • Conduct the following cluster analysis task:
      • Cluster variables:
        • Determine if Longitude and Latitude are viable candidates for cluster variables.
        • Limit your analysis to 10 clusters.

The final analysis report must meet the following requirements:

  • Be 4-6 pages in length, not including the cover and references pages.
  • Follow the CSU-Global Guide to Writing & APA (Links to an external site.). Your paper should include an introduction, a body with at least two fully developed paragraphs, and a conclusion.
  • Be clearly and well written using excellent grammar and style techniques. Be concise and logical. You are being graded, in part, on the quality of your writing. If you need assistance with your writing style, you can find many writing resources in the CSU-Global Writing Center (Links to an external site.).
  • Supported with at least three peer-reviewed, scholarly references, and one citation from the course textbooks. You may also include references from credible sources in print and from the Internet. The CSU-Global Library (Links to an external site.) is a great place to find these resources.

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