# MM305 Business Statistics and Quantitative Measures

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Description

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**Main Post: **Export your daily weather summary from the last month for Philadelphia __Climate Data Online Search__.

- Open the data in Excel and select one of the quantitative weather variables to analyze. (Avoid using precipitation data.)
- 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__. - Share the summary table
**or**the following descriptive measures:- Mean
- Median
- Mode
- Maximum
- Minimum
- Sample standard deviation

- Calculate and share the 1st and 3rd quartiles for the variable using the “quartile.inc” function in Excel.
- 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.

- Calculate and share the coefficient of variation for your data and for your classmate’s data.
- Compare the variation between the datasets.
- 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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