Mathematics Vision Project
Module 9: Modeling Data
How many different ways can you model data? Scholars learn several in the final module in a series of nine. Learners model data with dot plots, box plots, histograms, and scatter plots. They also analyze the data based on the data...
EngageNY
Scatter Plots
Scholars learn to create scatter plots and investigate any relationships that exists between the variables with a lesson that also show them that statistical relationships do not necessarily indicate a cause-and-effect...
Curated OER
Comparison of Univariate and Bivariate Data
Learners explore the concept of univariate and bivariate data. In this univaritate and bivariate data lesson, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must construct box...
K20 LEARN
You’re The Network: Data Analysis
How do you rate? Young scholars use graphical data to analyze ratings of different television episodes. Their analyses include best-fit lines, mean, median, mode, and range.
EngageNY
Patterns in Scatter Plots
Class members investigate relationships between two variables in the seventh installment of a 16-part module that teaches scholars how to find and describe patterns in scatter plots. Young mathematicians consider linear/nonlinear...
Radford University
Real World Data
Make math class feel more real by using real-world data. Scholars research or collect data on several different topics, such as nutrition, the motion of moving objects, cooling curves, and daylight hours. They create scatter plots using...
EngageNY
Using Linear Models in a Data Context
Practice using linear models to answer a question of interest. The 12th installment of a 16-part module combines many of the skills from previous lessons. It has scholars draw scatter plots and trend lines, develop linear models, and...
Curated OER
Interpreting and Displaying Sets of Data
Students explore the concept of interpreting data. In this interpreting data lesson, students make a line plot of themselves according to the number of cubes they can hold in their hand. Students create their own data to graph and...
Curated OER
Correlation of Variables by Graphing
Middle and high schoolers use a spreadsheet to graph data. In this graphing lesson, learners determine how two parameters are correlated. They create a scatter plot graph using a computer spreadsheet.
Radford University
Danger! – An Analysis of the Death Toll of Natural Disasters
Decipher the danger of natural disasters. Using researched data, scholars work in groups to create data displays on the number of deaths from different types of natural disasters. They share their graphical representations with the class...
Curated OER
Mystery Liquids: Linear Function
High schoolers determine the linear equations of the density of water and oil by collecting data on the mass of various volumes of each liquid. They construct scatter plots from the data and use these to write the linear equations for...
EngageNY
Determining the Equation of a Line Fit to Data
What makes a good best-fit line? In the 10th part of a 16-part module, scholars learn how to analyze trend lines to choose the best fit, and to write equations for best-fit lines to make predictions.
Virginia Department of Education
Scatterplots
Math is all fun and games with this activity! Learners use an activity designed around hula hoops to collect data. They create scatter plots with their data and then analyze the graphs for correlation.
Curated OER
Murder in the First Degree - The Death of Mr. Spud
Secondary learners investigate exponential functions in a real-world scenario. They collect data on the temperature of a cooling baked potato, enter the data into lists, and graph the data using a scatter plot before finding an...
Concord Consortium
Here Comes the Sun
Many phenomena in life are periodic in nature. A task-based lesson asks scholars to explore one of these phenomena. They collect data showing the sunrise time of a specific location over the period of a year. Using the data, they create...
Curated OER
How Many Frogs?
Students explore the concept of linear regression. In this linear regression lesson, students find the line of best fit for a set of data pertaining to a frog population. Students use their line of best fit to predict the frog population...
EngageNY
Tides, Sound Waves, and Stock Markets
Help pupils see the world through the eyes of a mathematician. As they examine tide patterns, sound waves, and stock market patterns using trigonometric functions, learners create scatter plots and write best-fit functions.
American Statistical Association
Don't Spill the Beans!
Become a bean counter. Pupils use a fun activity to design and execute an experiment to determine whether they can grab more beans with their dominant hand or non-dominant hand. They use the class data to create scatter plots and then...
Bowland
In the Olympics, are Women Improving Faster than Men?
Will the time come when women outperform men at the Olympic Games?Scholars investigate gender differences in Olympic Games performances. They study the historical participation of women and then analyze data to determine if women will...
Curated OER
The Way to Better Grades!
Pupils collect and analyze data. In this statistics lesson, learners create a scatter plot from their collected data. They use, tables and graphs to analyze the data and mae decisions.
Curated OER
Exploring Linear Equations And Scatter Plots - Chapter 5 Review
Students complete rolling stocks experiment, and collect and enter data on the computer. They enter data on graphing calculators, complete scatter plot by hand with line of best fit, and discuss different graphing methods.
Curated OER
Scatter Plots
Seventh graders investigate how to make and set up a scatter plot. In this statistics lesson, 7th graders collect data and plot it. They analyze their data and discuss their results.
American Statistical Association
Scatter It! (Using Census Results to Help Predict Melissa’s Height)
Pupils use the provided census data to guess the future height of a child. They organize and plot the data, solve for the line of best fit, and determine the likely height and range for a specific age.
American Statistical Association
You and Michael
Investigate the relationship between height and arm span. Young statisticians measure the heights and arm spans of each class member and create a scatter plot using the data. They draw a line of best fit and use its slope to explain the...