Gatsby Charitable Foundation
Four Activities Using Straight Line Graphs
This math packet includes four different activities which puts linear equations and line of best fit in the context of real world applications. Each activity uses a different linear math modeling equation and asks the learners to...
Texas Instruments
Finding Linear Models Part III
Explore linear functions! In this Algebra I lesson, mathematicians graph data in a scatter plot and use a graphing calculator to find a linear regression and/or a median-median line. They use the model to make predictions.
Curated OER
Bouncing Ball
High schoolers collect height versus time data of a bouncing ball using the CBR 2™ data collection device. Using a quadratic equation they graph scatter plots, graph and interpret a quadratic function, apply the vertex form of a...
PBL Pathways
College Costs 2
What is the financial benefit for attending a community college for the first two years before transferring to a four-year college? The second part of the educational lesson asks young scholars to explore this question through data...
Mabry MS Blog
Scatter Plots
Scatter plots are a fun way to gather and collect relevant data. The presentation goes through several examples and then describes the different types of correlation.
Wake Forest University
Authentic Activities for Connecting Mathematics to the Real World
Check out the handout from a presentation that contains a collection of high school algebra projects connecting a variety of mathematics to the real world. Activities range from simple probabilities to calculus. The activities can be...
National Research Center for Career and Technical Education
Health Science: Back to Basics
This lesson focuses on unit conversion, proportions, ratios, exponents, and the metric system. Discuss measurement with your math class and demonstrate how to solve several health-science word problems. Give learners a chance to visit an...
Curated OER
Scatter Plots and Line of Best Fit – TV Task
This handout begins by asking your statisticians to form hypotheses on the correlation between test scores and student height and test scores and the number of hours watching TV. Then using specific data, your class will create scatter...
Curated OER
Application and Modeling of Standard Deviation
The first activity in this resource has learners computing the mean and standard deviation of two different data sets and drawing conclusions based on their results. The second activity has them using a dice-rolling simulation to...
Curated OER
Coffee and Crime
Is there a correlation between the number of coffee shops and the amount of crime in a given area? In this quick exercise, your class will examine the data, interpret the results, and discuss their conclusion. Concepts covered include...
Curated OER
Math TODAY - Breast Cancer Risks
Learners explore data that be modeled by a logistic function. They have the opportunity to study real-life data and create a mathematical function to model the data and make a prediction.
Curated OER
Strike a Pose: Modeling in the Real World (There's Nothing to It!)
Adjust this lesson to fit either beginning or more advanced learners. Build a scatter plot, determine appropriate model (linear, quadratic, exponential), and then extend to evaluate the model with residuals. This problem uses real-world...
Curated OER
Quadratic Functions and Stopping Distance
Learners solve quadratic equations. In this algebra lesson, students factor and graph quadratic functions. they use the properties of quadratics to calculate the distance.
Curated OER
Polynomial Rollercoaster
Learners relate polynomials to a rollercoaster track as they translate a graph around on a coordinate plane. They differentiate between different forms of algebraic expressions.
Curated OER
Investigating Correlation
High schoolers investigate different types of correlation in this statistics instructional activity. They identify positive, negative and no correlation as it relates to their data. They then find the line of best fit for the plotted data.
Curated OER
Exploring Diameter and Circumference
Learn how to identify the diameter and circumference of a circle. Then, collect data on a circle and relate it to the diameter and circumference of a circle. Last, plot data and find the line of best fit.
Curated OER
Spreading Doom
Learners explore the pattern created by a sequence or series. In this geometry lesson, students relate the spread of a virus to the growth of exponential functions. They collect data as they analyze the sequence created by the growth.
Curated OER
Dog Days or Dog Years?
In need of some algebraic fun with real world implications?Learners use ordered pairs, a table of values and a scatter plot to evaluate the validity of several real world data sets. The class focuses on dog ages in human years, domain,...
Curated OER
The M & M Function
In this M & M worksheet, students perform probability experiments. They collect and interpret data, identify the exponential function describing the data and create graphs from the collected information. This one-page worksheet...
Curated OER
FCAT Real World Solving Linear Equations/Systems
Pupils relate real life situation to the equations, graphs and inequalities. They model real life scenarios using matrices and draw conclusions from their data. This lesson plan is aligned with FCAT.
Curated OER
Let's Gather Around the Circle
Scholars explore the relationship between circumference and diameter. Groups of learners measure the diameter and circumference of round objects and record their data on a given worksheet. They then input the data into their graphing...
Curated OER
To the Moon
Pupils explore circumference manipulating Moon Pie wrapper. In this geometry lesson, they manipulate snack wrappers to find circumference, diameter, radius and distance.
Curated OER
Carbon Dating
Simulate C-14 decay using M&M and Reese's Pieces candies. In this scatter-plot lesson, students perform an experiment to simulate the half life of C-14. Information is plotted on a scatter-plot. Students answer four comprehension...
Curated OER
Walk the Line
Learners create constant speed versus motion graphs. They will perform linear regressions on their data to describe the graphs mathematically.