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Curated OER
Which Amusement Park Would You Choose?
Learners analyze data related to amusement parks and create a spreadsheet to display the data. They read the data and predict which amusement park they think is safer, create a spreadsheet and graph, and write a proposal based on their...
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
Exploring Renewable Energy Through Graphs and Statistics
Ninth graders identify different sources of renewable and nonrenewable energy. In this math lesson, learners calculate their own carbon footprint based on the carbon dioxide they create daily. They use statistics to analyze data on power...
Curated OER
Atlatl Lessons Grades 4-12: Lesson for Beginning Users of Atlatl
Sixth graders determine the mean, range median and mode of a set of numbers and display them. In this data lesson students form a set of data and use computer spreadsheet to display the information. They extend of the process by...
Curated OER
Are You Full of Hot Air?
Explore the concept of measuring and recording circumference. In this physical science and measurement instructional activity, young learners blow up balloons, measure the circumference, and record the data on an interactive graphing...
Curated OER
Interpreting Data and Statistics
Students define terms and analyze data. In this statistics lesson, students plot their data using bar and line graphs. They analyze their data after they graph it and apply the results to the Great Depression.
Curated OER
Valentine Hearts Investigation
Students practice analyzing data and making predictions. In this 2nd - 3rd grade lesson plan, students investigate and compare data gathered using boxes of valentine candy hearts. Students examine the different boxes of candy provided,...
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...
EngageNY
Nonlinear Models in a Data Context
How well does your garden grow? Model the growth of dahlias with nonlinear functions. In the lesson plan, 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
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
Students 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 gas...
Curated OER
Nutria And The Disappearing Marsh
Young analysts examine changes in the nutria population, vegetation density, and marsh area over time in the wetlands of Louisiana. They import data and use the TI-73 Explorer to graph and analyze the effects of nutria on marsh loss.
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
Charting and Graphing Sales
Students analyze graphs, charts and tables. In this data analysis instructional activity, students practice creating and analyzing charts, graphs and tables corresponding to sales and surveys. This instructional activity uses data...
Curated OER
Discovering Magnets and Graphs
Sixth graders investigate averages and statistics by discovering magnet strengths. In this magnet experiment lesson, 6th graders utilize different magnets and attempt to attract different materials to them. Students record...
Curated OER
Canada at a Glance
Stjudents examine the statistics in a Canadian publication for use in graphs. They develop their own questions based on tables and graphs found in this publication..
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 plan, students will visit a Web site to test their data collection...
Curated OER
What's Up With My Class
Students collect data about their class and they use Excel spreadsheet to display their tables and graphs about the class. They answer survey questions and collect their data. Students create a graph of their choice to display the...
Curated OER
Scatter Plot Basketball
Learners take turns shooting baskets and creating scatterplots based on the data. They create two graphs and look for possible correlation in the data for each graph.
Curated OER
Long Distance Phone Plans
In this long distance phone plane worksheet, students compare various phone plans and determine which long distance plan has the greatest savings. Students support their answers visually through the use of tables and graphs. They write...
Curated OER
Bycatch
Bycatch is the unwanted and discarded marine life caught during commercial fishing. Young marine scientists review bycatch litigation and analyze graphs of bycatch data and answer questions about it. This raises awareness while...
Curated OER
Fire Wars
Your class can practice collecting and analyzing data. They extrapolate information and derive data from fire season statistics. They also choose the most appropriate format to display collected data.
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