Analyzing Your Weather!
“Climate is what you expect; weather is what you get,” has been attributed to Mark Twain, Robert Heinlein, and several others (Lovejoy, 2013). Here is your chance to analyze the weather patterns in your area with the numerical measurements explored in this unit.
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 .
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.
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.
Peer Post 1
Topic: Analyzing Your Weather!
I downloaded the weather data for July 9 – August 8, 2022, from stations in Indianapolis, Indiana. I chose a station that included the temperature maximum (TMAX) and minimum (TMIN) and decided to analyze the quantitative variable, TMAX, maximum temperatures for each day. I have attached the excel worksheet and ran the descriptive statistics data and here are the summary tables. ~ Elizabeth
Summary Table
Mean
84.46667
Median
85
Mode
83
Maximum
92
Minimum
73
Sample Standard Deviation
4.376531
5 Number Summary
Minimum
73
Quartile 1
82.25
Median
85
Quartile 3
87.75
Maximum
92
Peer Post 2
For my data I used the daily maximum temperatures for my county. And I can tell you from personal experience, this does not accurately represent what the feels like has been.
The 5 number summary is,
Min. 80
Quartile 1. 89
Median. 91
Quartile 3. 94
Max. 98
