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Curated OER
Data Analysis, Probability, and Discrete Mathematics: Lesson 4
Eighth graders investigate the concepts of probability while performing data analysis. They apply statistical methods in order to measure or predict some possible outcomes. The information is collected and graphed, 8th graders analyze...
Curated OER
Collecting And Organizing Data
In this collecting and organizing data worksheet, students, with a partner, problem solve and calculate the answers to six mathematical word problems.
School Improvement in Maryland
Demographic Investigation
What are the factors that influence voting patterns? How do these factors influence government funding? Is participation the squeaky wheel gets the grease? Class members interpret graphs and analyze trends to determine what...
EngageNY
Modeling a Context from Data (part 2)
Forgive me, I regress. Building upon previous modeling activities, the class examines models using the regression function on a graphing calculator. They use the modeling process to interpret the context and to make predictions...
Curated OER
What's My Pattern?
Young scholars recognize, describe and extend patterns in three activities. They organize data, find patterns and describe the rule for the pattern as well as use the graphing calculator to graph the data to make and test predictions. In...
Curated OER
A Day at the Beach
Help learners determine the rate of change for the temperature of sand. They will collect data on the temperature of wet and dry sand over time with a heat lamp overhead. Then make a scatter plot of the data and find a linear model to...
University of Georgia
Using Freezing-Point Depression to Find Molecular Weight
Explore the mathematical relationship between a solvent and solute. Learners use technology to measure the cooling patterns of a solvent with varying concentrations of solute. Through an analysis of the data, pupils realize that the...
American Statistical Association
What Fits?
The bounce of a golf ball changes the result in golf, mini golf—and a great math activity. Scholars graph the height of golf ball bounces before finding a line of best fit. They analyze their own data and the results of others to better...
Center of Excellence for Science and Mathematics Education
A Sick Astronaut
Aspiring astronauts graph, interpret, and analyze data. They investigate the relationship between two variables in a problem situation. Using both graphic and symbolic representations they will grasp the concept of line of best fit to...
EngageNY
Nonlinear Models in a Data Context
How well does your garden grow? Model the growth of dahlias with nonlinear functions. In the lesson, scholars build on their understanding of mathematical models with nonlinear models. They look at dahlias growing in compost and...
Curated OER
Physical Science: Festival of Bubbles
Investigate bubbles through the use of scientific inquiry. Pupils blow bubbles using several methods and measure the resulting bubble print. Measurements are recorded on a data table and transferred to a bar graph. Results are discussed...
Curated OER
Energy Analysis
Students analyze information in graphs about U.S. energy consumption. In this energy consumption lesson plan, students create graphs and answer questions about U.S. energy consumption data. They determine trends in their graphs and...
Statistics Education Web
Walk the Line
How confident are you? Explore the meaning of a confidence interval using class collected data. Learners analyze data and follow the steps to determine a 95 percent confidence interval. They then interpret the meaning of the confidence...
Curated OER
Creating a Thematic Map
Students create and analyze a weather-related data table and a thematic map based upon information provided.
Curated OER
A world of oil
High schoolers practice in analyzing spatial data in maps and graphic presentations while studying the distribution of fossil fuel resources. They study, analyze, and map the distribution of fossil fuels on blank maps. Students discuss...
Curated OER
Go Fish!
So much science in one tiny fish! Introduce young biologists to the zebrafish, a common aquarium inhabitant. The small, unassuming organism presents an opportunity for learners to study habituation using an easy-to-care-for species. Lab...
K20 LEARN
Trashketball: Part 1
It's the one day your classes get to 'shoot' their trash into the can! Scholars collect data related to shooting percentages to analyze. As they move farther from the basket, their percentages change, and a linear model emerges.
K20 LEARN
Graphing: The Ups and Downs
What do clocks and Ferris wheels have in common? Your class can model their heights using trigonometric functions! Scholars first use the Internet to find data on provided landmarks (famous clocks and Ferris wheels). Plotting this data...
Curated OER
Data Collection - Primary Poster
Students explore the concept of collecting, analyzing, and graphing data. In this collecting, analyzing, and graphing data lesson, students create a survey about a topic of interest. Students poll their classmates, analyze, and graph...
Curated OER
Hurricanes and Climate
Students investigate maps and data to learn about the connections between hurricanes and climate. In this exploratory lesson students describe and graph the 6 regions where hurricanes happen and discuss how hurricanes have changed over...
Curated OER
Graphs and Spreadsheets
Students collect data and present it in a graph and/or a spreadsheet, depending on their previous understanding of technology.
Curated OER
What's Playing Tonight?
Students collect data and visually represent it. They conduct a survey of favorite movies. Using a spreadsheet, students organize the data and create bar and circle graphs. Students answer statistical questions regarding the data.
Curated OER
All in the Family
Students use data to make a tally chart and a line plot. They find the maximum, minimum, range, median, and mode of the data. Following the video portion of the lesson, students will visit a Web site to test their data collection skills...
Curated OER
kind of Bean
Third graders sort different types of beans and collect the data. They create a data table, put the information on the data table and then graph their results. They answer follow-up questions.