STEM Global Data Driven Curriculum
This lesson has been updated with suggested adaptations for remote learning
This lesson explores past, current, and future trends of air pollution in Washington State and provides opportunities for students to better understand the phenomena through intensive interaction and manipulation of data. Through this lesson, students will develop an understanding of foundational data science principles and recognize techniques for manipulating and analyzing data. In particular, students will develop skills in vetting data quality and generating basic descriptive statistics, including calculating mean, median, min, and max. Students will also gain skills in interpreting trends and patterns in data and making informed and evidence-based conclusions. In addition, students will gain an understanding of how air pollution effects human health and the global epidemiology of outcomes attributed to air pollution.
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Lesson plans & supporting documents:
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Cover Sheet – Word Document PDF
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Lesson Plan – Word Document PDF
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Handout 1: Instructions- Word Document
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Handout 2: Time Series Plot- Word Document
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Handout 3A: City Comparison Plot Group A- Word Document PDF
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Handout 3B: City Comparison Plot Group B- Word Document PDF
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Handout 3C: City Comparison Plot Group C- Word Document PDF
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Handout 3D: City Comparison Plot Group D- Word Document PDF
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Handout 3E: City Comparison Plot Group E- Word Document PDF
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Handout 3F: City Comparison Plot Group F- Word Document PDF
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Handout 3G: City Comparison Plot Group G- Word Document PDF
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Handout 3H: City Comparison Plot Group H- Word Document PDF
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Handout 3I: City Comparison Plot Group I- Word Document PDF
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Handout 4: Washington State Map of PM2.5- Word Document PDF