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Note: Anything in all caps has a corresponding link for a reference (located at end of instructions)
Main Post: Export your daily weather summary from the last month for your city or ZIP code, or a nearby city, using NOAA’s CLIMATE DATA ONLINE SEARCH. (USE ZIP CODE 11433)
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 Descriiptive 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 descriiptive measures:
Sample standard deviation
Calculate and share the 1st and 3rd quartiles for the variable using the “” function in Excel.
Clearly state the 5-number summary for the variable (Minimum, Quartile 1, Median, Quartile 3, Maximum) in your post.
See GUIDANCE for a table of descriiptive statistics and a 5-number summary table. You can also view a Discussion Board starter video to assist you with the Unit 2 Discussion Board in the UNIT 2 LIVEBINDER
Peer Reply 1: Who Has More Variation?
Review a classmate’s thread and the descriiptive 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.
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.
Describe how the size of the quartiles compare to each other.
See GUIDANCE for a sample box and whisker plot and quartile descriiption.
(All links are below. Peer submissions to respond to will be attached in two separate files on September 3-4, 2022)

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