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Gulf of Maine Research Institute


6th, 7th, 8th


Science, Biology, Earth and Space Sciences, Mathematics

Resource Types

  • Lesson Plans, 45 minutes
  • Activity - Classroom
  • Interactive Media
  • Charts, Graphs, and Tables
  • Assessments
  • Worksheets

Regional Focus

North America, United States, USA - Northeast, Maine


Google Docs

Lake Ice-Out Lesson 2 - Temperature

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  • In this interactive lesson, students learn about "normal" winter conditions for a lake in Maine and learn how to analyze data to look for trends and outliers.
  • This lesson is the second of four lessons on this topic and it includes a worksheet, interactive questions, graphs, and audible text.
Teaching Tips


  • This is a great STEM resource that incorporates math and science in an interactive manner.
  • Students apply their critical thinking skills to think about variability and trends in observable and measurable data.

Additional Prerequisites

  • Students need access to devices and the Internet for this lesson.
  • You may want to have students expand the interactive data plot to see it more clearly.


  • Have students work in groups so they can support each other in the activities.
  • There is a glossary of vocabulary terms included for reference and audible text for students with learning differences.
  • Science classes can use this lesson to connect to many topics, including ecosystems, weather vs. climate, and the scientific method.
  • Teachers can connect this activity to lessons about applying math and science skills to solve problems and address important questions.
  • Consider having students take three temperature measurements per day for a week and then graph their data in a similar fashion. What trends do they notice? How should they group the data for analysis? How could they use the data to solve an important issue or question?
Scientist Notes
In this lesson, students explore data on how the climate is changing in Maine. The links within all connect to scientifically accurate information. This resource has passed our review process and is recommended for teaching.

This resource addresses the listed standards. To fully meet standards, search for more related resources.

  • Mathematics
    • Statistics & Probability (6-8)
      • 6.SP.A.2 Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
      • 6.SP.A.3 Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
      • 6.SP.B.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
      • 8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
      • 8.SP.A.2 Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit (e.g., line of best fit) by judging the closeness of the data points to the line.
  • Science
    • ESS2: Earth's Systems
      • MS-ESS2-5. Collect data to provide evidence for how the motions and complex interactions of air masses result in changes in weather conditions.
  • Related Resources


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