data file variables

this lesson involves a data file with information about the amount of SO2 detected in US cities. The data file is attached as are these instructions. The data file: Pollution Student.xls is an Excel file. You may use Excel or MiniTab or whatever statistical analysis tool you desire. Most applications will read an Excel file.

Data File Variables:

  • City
  • Part of Country
  • SO2
  • Manufacturing
  • Population
  • Average Temperature
  • Avg. Wind Speed
  • Avg. Precipitation increase
  • Avg. Precipitation per Day

Note: SO2: Sulfur dioxide) is the chemical compound with the formula S + O2 → SO2, ΔH = −297 kJ/mol Sulfur dioxide is the product of the burning of sulfur or of burning materials that contain sulfur. It is a toxic gas responsible for the smell of burnt matches. It is released (naturally) by volcanic activity and is produced as a by-product of copper extraction and the burning of fossil fuels contaminated with sulfur compounds.


  1. You are to explore the ‘Pollution’ data set for each variable using descriptive statistics.
    1. Write a report – APA format. That means you must label tables, charts, and graphs.
    2. Write a short introduction.
      1. Example: “This report focuses on the amount of pollution in US cities as measured by… This investigator (you) ran descriptive statistics and found…”
    3. What did you find? You must tell that ‘story’ using mean, median, mode, SD, etc. In doing so, you must refer to the table where those results may be found as well as include them in your text.
      1. Example: “Cities located in the NEastern US had a mean rainfall of x and SD x as compared to Midwest (mean, SD), South (mean, SD), and West (mean, SD). Do NOT use my example.
    4. You must also include a Chart or other graphical display(s) that substantiates your summary and you must refer to the visual displays as Figures and number them. Remember, the reader knows nothing about this data set. You are responsible for helping that person understand and for showing them the related information.
  2. Complete this exercise for ALL of the variables in the data set and summarize all outcomes.
  3. Finalize your report with an interpretative summary. What did the data tell you? If you were to analyse the data using inferential statistics, what are the hypotheses you might propose or the relationships you might investigate.
  4. Why? Using the output from your analysis, explain why you would choose to investigate that information.
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