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...

Your eighth grade learners are asked to analyze and graph linear data collected by fifth graders in order to prepare a report of recommendations on the length of shoe laces for shoe manufacturers. Given the bivariate data, learners...

Here is a fitting question for middle schoolers to consider: Is there a relationship between grade point average and frequency of sending texts? Starting statisticians examine a scatter plot and discuss any patterns seen.

Young statisticians create and interpret various types of graphs from data gathered. The focus here is on interpreting the data and drawing appropriate conclusions. Box-and-whisker plots, frequency distributions, scatterplots, and lines...

Get to know quadratics from a couple of different perspectives. Classmates work in small groups to determine the optimal cooking time for microwave popcorn. Group members pop bags of popcorn for different times and collect data on the...

Can I afford to go to college? Small groups design a method to research college tuition for several years and make a prediction of costs in 2025. Classmates plot the the data on a scatter plot and graph the line of best fit to make their...

Develop a complete understanding of the course. Pupils and teachers use the six free-response questions to gather information about aspects of the AP® Statistics course. The resource and test section show how items cover the content. A...

Look 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...

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...

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.