Type:

Other

Description:

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

Subjects:

    Education Levels:

    • Grade 1
    • Grade 2
    • Grade 3
    • Grade 4
    • Grade 5
    • Grade 6
    • Grade 7
    • Grade 8
    • Grade 9
    • Grade 10
    • Grade 11
    • Grade 12

    Keywords:

    oai:nsdl.org:2200/20110719215123670T,Higher Education,NSDL_SetSpec_380601,Climate Change,Undergraduate (Lower Division),Vocational/Professional Development Education,History/Policy/Law,Global Change and Climate,Geoscience,NSDL

    Language:

    English

    Access Privileges:

    Public - Available to anyone

    License Deed:

    Creative Commons Attribution Non-Commercial Share Alike

    Collections:

    None
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