The activity is divided into seven parts, as follows:
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
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- Subject:
- Applied Science
- Biology
- Environmental Science
- Life Science
- Material Type:
- Activity/Lab
- Provider:
- Science Education Resource Center (SERC) at Carleton College
- Provider Set:
- Teach the Earth
- Author:
- Sarah Rubinfeld
- Date Added:
- 09/11/2020