Curated OER
Linear and Quadratic Model, Data Modeling
Students model quadratic and linear equations. In this algebra lesson, students solve word problems using equations. They create scatter plots and make predictions using correlations.
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...
Willow Tree
Approximating a Line of Best Fit
You may be able to see patterns visually, but mathematics quantifies them. Here learners find correlation in scatterplots and write equations to represent that relationship. They fit a line to the data, find two points on the line, and...
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...
EngageNY
Analyzing Residuals (Part 2)
Learn about patterns in residual plots with an informative math lesson. Two examples make connections between the appearance of a residual plot and whether a linear model is the best model apparent. The problem set and exit ticket...
Willow Tree
Box-and-Whisker Plots
Whiskers are not just for cats! Pupils create box-and-whisker plots from given data sets. They analyze the data using the graphs as their guide.
Curated OER
Histograms
Young statisticians explore the concept of histograms. They construct histograms of various data such as change in a student's pocket, and guessing on a test. hHey analyze data represented as a histogram and a box plot and compare...
Flipped Math
Unit 5 Review: Bivariate Data
The data says it's a wrap. Pupils work through four review questions with multiple parts dealing with bivariate data. Questions cover creating and interpreting two-way tables and scatter plots with lines of best fit. Scholars finish up...
Curated OER
Graph It!
There is more than one way to represent data! Learners explore ways to represent data. They examine stacked graphs, histograms, and line plots. They conduct surveys and use stacked graphs, histograms, or line plots to chart the data they...
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...
CCSS Math Activities
Social Security Trust Fund
Will Social Security still be around when you retire? Given data on the predicted balance of the social security fund over time, scholars plot the points on a coordinate grid and determine if a quadratic regression fits the data. They...
Willow Tree
Line Graphs
Some data just doesn't follow a straight path. Learners use line graphs to represent data that changes over time. They use the graphs to analyze the data and make conclusions.
Project Maths
Correlation Coefficient
Of course, there might be a correlation! Young mathematicians investigate several different data sets, create scatter plots, and determine any correlation. They consider whether a causation exists between any of the variables in question.
Alabama Learning Exchange
I Know What You Did Last Summer: A Data Graphing Project
Young scholars participate in graphing data. In this graphing data lesson, students make a stem and leaf plot of their summer activities. Young scholars create numerous graphs on poster boards. Students discuss the...
Statistics Education Web
How High Can You Jump?
How high can your pupils jump? Learners design an experiment to answer this question. After collecting the data, they create box plots and scatter plots to analyze the data. To finish the lesson, they use the data to draw conclusions.
Curated OER
Learning to Make Line Graphs
Students analyze data and create a line graph. In this graphing lesson, students explore data from a previous experiment and plot the information on a line graph. Students analyze their findings.
Mathed Up!
Cumulative Frequency and Box Plots
Learn how to display data. Young data analysts watch a video to review how to create cumulative frequency histograms and box plots. They work on a set of questions to practice producing these data displays.
Inside Mathematics
Population
Population density, it is not all that it is plotted to be. Pupils analyze a scatter plot of population versus area for some of the states in the US. The class members respond to eight questions about the graph, specific points and...
EngageNY
Analyzing Residuals (Part 1)
Just how far off is the least squares line? Using a graphing calculator, individuals or pairs create residual plots in order to determine how well a best fit line models data. Three examples walk through the calculator procedure of...
Kenan Fellows
Least Squares Linear Regression in R
The task? Determine the how effective hospitals are at reducing the rate of hospital-acquired infections. The method? Data analysis! Using an open source software program, individuals use provided data and create scatterplots to look for...
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...
Curated OER
Using Matrices for Data
In this matrices for data worksheet, 9th graders solve and complete 29 various types of problems that include using matrices to illustrate data. First, they determine the sum, difference and scalar product for each matrices shown. Then,...
Curated OER
From Playing with Electronics to Data Analysis
Students collect and Analyze data. In this statistics instructional activity, students identify the line of best fit of the graph. They classify lines as having positive, negative and no correlation.
Curated OER
Evaluating Data
In this data worksheet, students learn how to organize the data collected during an experiment and practice finding patterns. Students graph a table of experimental data and complete 1 short answer question.