MM305 Business Statistics and Quantitative Measures

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Main Post: Export your daily weather summary from the last month for Philadelphia Climate Data Online Search.

  1. Open the data in Excel and select one of the quantitative weather variables to analyze. (Avoid using precipitation data.)
  2. For the variable selected, run the Descriptive Statistics->Summary statistics, available in the Excel Data Analysis Tools, or use the individual Excel functions to calculate the measures listed below. Review the directions for opening the data analysis toolpak.
  3. Share the summary table or the following descriptive measures:
    • Mean
    • Median
    • Mode
    • Maximum
    • Minimum
    • Sample standard deviation
  4. Calculate and share the 1st and 3rd quartiles for the variable using the “quartile.inc” function in Excel.
  5. Clearly state the 5-number summary for the variable (Minimum, Quartile 1, Median, Quartile 3, Maximum) in your post.

Peer Reply 1: Who Has More Variation?

Review a classmate’s thread and the descriptive statistics provided.

  1. Calculate and share the coefficient of variation for your data and for your classmate’s data.
  2. Compare the variation between the datasets.
  3. Discuss which variable has the most variation and why you believe that to be the case.

See guidance for a variable comparison and a coefficient of variation calculation.I pulled the following information for Ellenwood, GA from The Weather Channel. The time period is September 2023, which shows the highs and lows for the month.

Peer Reply 2: Create a Box and Whisker Plot

Review another classmate’s thread and their 5-number summary.

  • Create a box and whisker plot of their data.
  • Copy and paste the box plot directly in the reply or include it as an attachment.
  • Describe how the size of the quartiles compare to each other.

See guidance for a sample box and whisker plot and quartile description.

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