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Curated OER
Flicking Football Fun
Young mathematicians fold and flick their way to a deeper understanding of statistics with a fun, hands-on math unit. Over the course of four lessons, students use paper footballs to generate data as they learn how to create line...
Radford University
A Change in the Weather
Explore the power of mathematics through this two-week statistics unit. Pupils learn about several climate-related issues and complete surveys that communicate their perceptions. They graph both univariate and bivariate data and use...
Radford University
Corn and Popcorn
Have a popping good time. Using probability and statistics skills, learners determine which type of popcorn to buy based on the percentage of kernels popped. After analyzing corn and popcorn sales to make a prediction of future sales,...
Radford University
Understanding Local Economic Issues Using Statistics
A good understanding of local economics requires a lot of data. Scholars design and conduct an experimental survey to collect information about economic issues affecting their regions. They analyze their findings and prepare a...
National Library of Medicine
Your Environment, Your Health: Runoff, Impervious Surfaces, and Smart Development
Can a sidewalk increase the amount of pollution in local streams? Scholars learn the answer to this question though research and experimentation in the fifth unit in the six-part series. Pupils study runoff, impervious surfaces, and the...
National Security Agency
Are You Game? A Lesson Connecting Fractions and Probability
Exactly how fair are the board games children grow up playing? Young mathematicians investigate this questions as they work their way through this five-lesson series on basic probability.
Texas Education Agency
Texas Gateway: Collecting Data and Making Predictions
Given an experimental situation, the student will write linear functions that provide a reasonable fit to data to estimate the solutions and make predictions.
Vision Learning
Visionlearning: Data: Uncertainty, Error, and Confidence
An explanation of how errors may affect data that has been collected for experimentation. Some examples are given.
Vision Learning
Visionlearning: Data: Statistics in Science
An explanation of how statistics allows scientist to explore the degree of uncertainty that accompanies conclusions that are based on data collected during experimentation and research.
CPALMS
Florida State University Cpalms: Florida Students: Do You Need Me to Repeat That?
Learn how repeated trials during experimentation leads to more reliable results.
Vision Learning
Visionlearning: General Science: The Scientific Method
Instructional module focusing on the scientific method as a process of investigation into the natural world rather than a linear collection of facts. Site also includes an interactive practice quiz and links relating to the topic.
Khan Academy
Khan Academy: Principles of Experiment Design
Practice questions on principles of experimental design.
Khan Academy
Khan Academy: Identifying Bias in Samples and Surveys
Practice problems identifying bias.
TeachEngineering
Teach Engineering: Dams
Through eight lessons, students are introduced to many facets of dams, including their basic components, the common types (all designed to resist strong forces), their primary benefits (electricity generation, water supply, flood...