New ReviewLook at patterns in bivariate data. Eight sample items illustrate the eighth grade statistics and probability standards. The Smarter Balanced Sample multiple-choice items focus on numerical and categorical bivariate data. The slide show...

Is the gestation length of an animal a predictor of the average life expectancy of that animal? Learners analyze similar data for more than 50 different animals. They choose a data display and draw conclusions from their graphs.

Seeing is believing. Given several bivariate data sets, learners make scatter plots using the online SeeIt program to visualize the correlation. To get a more complete picture of the topic, they research their own data set and perform an...

There's likely a strong correlation between watching the video and learning about causation. Scholars hear about different types of correlation and correlation coefficients through the informative YouTube video. They also see how...

Pupils work in teams to answer a statistical question about bouncing tennis balls. The groups collect data at time intervals and graph their collected data. 

Statistics let you make sense of the world around you. Individuals interview classmates to collect data on a topic of their choosing. They use spreadsheets and other technology to analyze their data in different ways.

What is the relationship between two variables? Groups work together to gather data on arm spans and height. Using the interactive, learners plot the bivariate data, labeling the axes and the graph. The resource allows scholars to create...

How good is the fit? Using an interactive, classmates create a scatter plot of bivariate data and fit their own lines of best fit. The applet allows pupils to display the regression line along with the correlation coefficient. As a final...

Do you hear that? Let's model it! Using a CD of chirping crickets at various temperatures, learners count the number of chirps per minute. Teams plot calculated averages on a scatter plot and determine the line of best fit for their...

Does getting taller lead to larger feet? A lesson provides an opportunity for the class to explore causal relationships. Using the shoe size and height of class members, pupils learn about correlation and estimates of the correlation...

Take a residual look at linear models. Given a set of bivariate data, pupils create a scatter plot, find an equation of best fit, and calculate residuals. Scholars then use the residuals to make a residual plot and decide whether a line...

Residuals are more than what is left over. Given an equation of the best fit line and a set of bivariate data, pupils calculate the residuals for each point. The learners create a graph of the residuals and interpret in terms of the fit...

A data-intensive performance task provides information on the cost, area, year built, number of bedrooms, and number of bathrooms for 30 houses. Scholars create five scatter plots using the data and analyze lines of best fit.

Scatter the TV sales over weeks. Pupils create a scatter plot to display the number of TV sales over a period of several weeks. The interactive allows class members to create two lines of best fit. Then they determine which line fits...

Set the table for learning using a great resource. The resource has a group of high school and college pupils select their favorite breakfast drinks. Class members create a two-way frequency table to display the given data.

Is there a better way to display data to analyze it? Pupils represent data in a variety of ways using number lines, coordinate graphs, and tables. They determine that certain displays work with different types of data and use two-way...

Is foot length to forearm length a linear association? The class collects data of fellow scholars' foot length and the length of their forearms. They plot the data and find a line of best fit. Using that line, they make predictions of...

What can math say about natural phenomena? The fifth STEM lesson in this project-based learning series asks collaborative groups to choose a phenomenon of interest and design an experiment to simulate the phenomenon. After collecting...

Make an estimate by getting in line. The class works with scatter plots and lines of best fit to make an estimate for given values. Pupils determine whether there is a positive or negative correlation and draw a best-fit line. Using the...

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...

Be sure to look both ways when making a two-way table. In the lesson, scholars learn to create two-way tables to display bivariate data. They calculate relative frequencies to answer questions of interest in the 14th part of the series.

Expand your pupils' vocabulary! Learn how to use statistical vocabulary regarding linear models. The lesson teaches scholars the appropriate terminology for bivariate data analysis. To complete the module, individuals use linear...

An assessment presents a chart displaying oil consumption Pupils use the chart to determine the greatest increase in consumption, and then apply that information to figure out when the consumption may reach 100 million barrels a day.