Analyzing Continuous Data - Climate Variability
This activity was selected for the On the Cutting Edge Exemplary Teaching Collection
Resources in this top level collection a) must have scored Exemplary or Very Good in all five review categories, and must also rate as “Exemplary” in at least three of the five categories. The five categories included in the peer review process are
- Scientific Accuracy
- Alignment of Learning Goals, Activities, and Assessments
- Pedagogic Effectiveness
- Robustness (usability and dependability of all components)
- Completeness of the ActivitySheet web page
For more information about the peer review process itself, please see http://serc.carleton.edu/NAGTWorkshops/review.html.
This page first made public: Jul 11, 2011
Skills and concepts that students must have mastered
An introduction to correlation and linear regression.
How the activity is situated in the course
Content/concepts goals for this activity
Higher order thinking skills goals for this activity
Evaluate how the earth's climate has varied over the past 200 years
Other skills goals for this activity
Apply presentation skills to a spreadsheet format
Description of the activity/assignment
Part A: students access an online data set of historic global temperature anomalies and use the webpage to answer questions about the source and presentation of the data.
Part B: students copy the data into an Excel spreadsheet and organize it so that it is easy for them to use and for others to follow.
Part C: students graph their data, explore the use of trend lines, and use a linear regression line to predict future temperatures.
Part D: students access an online data set of historic temperature anomalies within their latitude zone, analyze this data, and compare their results to those from Part C.
Part E: students access an online data set of historic temperatures for their state, analyze this data, and compare their results to those from Parts C and D.
Part F: students choose two original questions related to climate variability and use these or other data sets to address their questions.
Part G: students evaluate the statistical significance of their linear regression lines and interpret their results in the context of climate variability
Determining whether students have met the goals
Download teaching materials and tips
- Activity Description/Assignment: Analyzing Continuous Data - Climate Variability (Acrobat (PDF) 302kB Jun1 11)
- Instructors Notes:
- Solution Set: