Unit 3: Scientific Uncertainty & Probabilistic Reasoning

Unit 3

Summary

Scientific investigations try to answer questions about the natural world, such as identifying components of Earth’s atmosphere and how air quality affects health. This can involve a certain amount of scientific uncertainty. Uncertainty in science can come from incomplete information or scientific errors. In this
unit, students will explore air quality data to learn how to identify uncertainty and errors in science. By recognizing these uncertainties and errors, they will learn how to reduce them and become more sure of their findings. They will use probabilistic reasoning to make predictions, such as the likelihood of wildfire spread. Students will also look for meaningful signals in data and understand how false positives and false negatives can influence decisions. Throughout the unit, students will apply these conceptual tools
to air quality issues at both the local and global levels.

Unit Driving Question

How do you address scientific uncertainty when investigating claims about air quality?

Teacher Edition

The teacher edition is designed to support teachers in fostering student learning over the entire unit. Information provided includes day-to-day instructional management: how to prepare the classroom, what materials are needed, sample student responses, and how to modify materials for diverse learners.

Teacher edition, Unit 3: Scientific Uncertainty & Probabilistic Reasoning (84 Mb)

Student Book

Each unit requires students to interact with specific key concepts, process skills and thinking tools through various learning experiences. The student book has a deliberate structure that provides support for student learning, regardless of activity type.

Student book, Unit 3: Scientific Uncertainty & Probabilistic Reasoning (38 Mb)