Curated OER
Range, Cluster, Gap and Outliers
There are a number of activities here where learners collect and record data, as well as, activities where the likelihood of an event happening is calculated given the experimental probability. Young statisticians organize information...
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
Line Plots
In this line plot instructional activity, students create a line plot of given data. They identify the range, clusters, gaps, and outliers. This one-page instructional activity contains 8 multi-step problems.
Curated OER
Influence and Outliers
Using the TI-Nspire calculator, statisicians identify outliers and their effect on the least-squares regression line. In finding the line of best fit, they determine what points will affect the least squares regressions and what points...
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...
Curated OER
Animal Brains
Do big bodies make big brains? Let your learners decide whether there is an association between body weight and brain weight by putting the data from different animals into a scatterplot. They can remove any outliers and then make a line...
Curated OER
Linear Regression and Correlation
Learners explore scatter plots. In this linear regression lesson, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their...
Achieve
BMI Calculations
Obesity is a worldwide concern. Using survey results, learners compare local BMI statistics to celebrity BMI statistics. Scholars create box plots of the data, make observations about the shape and spread of the data, and examine the...
American Statistical Association
Scatter It! (Predict Billy’s Height)
How do doctors predict a child's future height? Scholars use one case study to determine the height of a child two years into the future. They graph the given data, determine the line of best fit, and use that to estimate the height in...
Alabama Learning Exchange
I Know What You Did Last Summer: A Data Graphing Project
Young scholars participate in graphing data. In this graphing data instructional activity, students make a stem and leaf plot of their summer activities. Young scholars create numerous graphs on poster boards. Students discuss the...
Curated OER
Scatterplots
In this scatterplots learning exercise, students construct a scatter plot from a given data set. Students then answer 4 questions regarding the least-squares regression line and making predictions.
Curated OER
In A Heartbeat
Students discuss scatter plots then create a class scatter plot using their heart rate at rest and their heart rate after a few minutes of aerobic exercises. Students copy the points plotted as a class and create individual graphs...
Inside Mathematics
Scatter Diagram
It is positive that how one performs on the first test relates to their performance on the second test. The three-question assessment has class members read and analyze a scatter plot of test scores. They must determine whether...
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...
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
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...
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.
PHET
Least-Squares Regression
Less is best when looking at residuals. Scholars use an interactive to informally fit a linear regression line to data on a scatter plot. The interactive provides a correct best fit line with residuals and correlation coefficient to...
Alabama Learning Exchange
The State Capital of Stem and Leaf
Students explore the concept of stem and leaf plots. For this stem and leaf plots lesson, students plot the 50 US states' capitals on a stem and leaf plot according to the first letter of each state. Students compare their stem and...
Curated OER
Steppin' Out
Students are presented with the question: "Do longer legged people run faster than shorter legged people?" Students conduct an experiment, collect their data, create box and whisker plots using a computer and graphing program, and...
Curated OER
Scatterplots and Regressions
In this scatterplots and regressions worksheet, students solve 6 different types of problems related to graphing scatterplots and interpreting regressions. First, they create a scatterplot from the given data coordinates and then,...
Curated OER
Breakfast Cereal - How Nutritious Is Yours?
Young scholars analyze the nutritional value of breakfast cereal in order to make an informed choice. They create a stem and leaf plot which analyzes the nutritional value of the cereal they eat on a regular basis. Students write a...
EngageNY
End-of-Module Assessment Task: Grade 8 Module 6
Test your knowledge of linear functions and models. The last installment of a 16-part module is an end-of-module assessment task. Pupils solve multi-part problems on bivariate data based on real-world situations to review concepts from...
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...