Data Analysis: Introduction to Measurement, Error, and Outliers | CEEE

Data Analysis: Introduction to Measurement, Error, and Outliers In this lesson, students measure and compare the rate of a falling object (a penny) at different heights to learn about statistical error. Context for Use Project EXTREMES lessons were intended to be stand alone lessons. Scale Ruler Photo credit: filmingilman Program Project EXTREMES Resource Type Lesson Topics Nature of science Middle School Instructional Time 45 minutes Published Date January 1, 2014 Funding Information Data Analysis: Introduction to Measurement, Error, and Outliers Funding Information × This project is funded by the  National Science Foundation  under  Award Number DGE – 0742544 . Close Goals Header What Students Will Do Students will be able to define and apply the statistical concepts of measurement, error, and outliers. Materials User note: To make an editable copy of the teaching materials in Google Drive, select File > "Make a copy". This will make a copy for you to save to your own drive and edit as you see fit. Data Analysis Teacher Guide File Data Analysis_ Teacher Guide.pdf Data Analysis Teacher Guide (Google doc) Description Part 1 – Engagement & Exploration (15 minutes) Errors in Data Collection Students collect and share data to explore the quality of their data and learn about error  in data collection. Part 2 – Explanation (15 minutes) Variation in Data Collection Students continue the exploration of the concept of variation in data. Part 3 – Elaboration & Evaluation (15 minutes) Penny Drop Data Analysis  Students decide on a method to analyze class data and explain why. They discuss the different types of error in data collection.    Similar Resources Drifting North Polar Planetarium Creating a Compass from a Magnet Letters to the Arctic Population Estimates: Bringing Math and Science Together In Support of Basic Science Animal Tracks Can Illuminate Many Things: A Detective Exercise Sea Ice, The Character Seasons and Light in the Arctic