Get a line on the snakes. The assessment task requires the class to determine the species of unknown snakes based upon collected data. Individuals analyze two scatter plots and determine the most likely species for five...

Pupils examine the concept of scatter plots. They compare baseball statistics to locate the ones that correlate with winning, and identify the positive, negative, and no correlation in sets of data using MS Excel.

Students explore the concept of systems of equations. In this system of equations lesson, students enter data into lists on their calculators about 100 meter dash times. Students plot the points using a scatter plot and perform a linear...

Your learners will practice many ways of describing data using coordinate algebra in this unit written to address many Common Core State Standards. Simple examples of different ways to organize data are shared and then practice problems...

Learners collect and analyze data. In this statistics instructional activity, pupils create a liner model of their data and analyze it using central tendencies. They find the linear regression using a spreadsheet.

Mississippi has both the highest obesity and poverty rate in the US. Does the rest of the data show a correlation between the poverty and obesity rate in a state? Learners tackle this question as they practice their skills of regression....

Is there a correlation between the number of coffee shops and the amount of crime in a given area? In this quick exercise, your class will examine the data, interpret the results, and discuss their conclusion. Concepts covered include...

Don't keep the resource at an arm's length. A hands-on activity has scholars measure the heights, arm spans, hair lengths, and foot lengths of their classmates. They create scatter plots to determine if there is a correlation between...

High schoolers investigate different types of correlation in this statistics lesson. They identify positive, negative and no correlation as it relates to their data. They then find the line of best fit for the plotted data.

High schoolers collect and graph data. In this statistics lesson, students analyze their plotted data using a scatter plot. They identify lines as having positive, negative or no correlation.

Students determine if there is an associationm in a scatter plot of data. They analyze data through predictios, comparisons, and applications. Students calculate the line of best fit using a graphing calculator. They display data in...

Learners investigate the differences between linear and exponential models.  In this linear and exponential models lesson, students make a table of given data.  Learners determine if the data is linear or exponential by...

Given the price of crude oil, gasoline, and diesel for the past several years, pupils plot the data to determine whether a correlation exists. Learners determine a regression line and predict the price of gasoline and diesel in the...

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...

Develop a deeper understanding of statistics. The six released free-response items from the 2002 AP® Statistics Form B involve several concepts that are currently in the regular statistics standards. Teachers see how...

Working in groups, learners research four countries' populations over the past 30 years. Using the data collected, the teams find regression equations that best fit the data. Taking the regression equations, they then make predictions...

High schoolers discuss line graphs and scatter plots and the best situations in which to use them. Using the graphs, they determine the type of correlation between variables on a scatterplot. They create a scatterplot and line graph...

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...

Turn up the heat! Young mathematicians develop models to represent different climates and collect temperature data. They analyze the data with regression and residual applications. Using that information, they make conclusions about...

Statistically speaking, the content covers several grades. Featuring all of the statistics typically covered in a college-level Statistics course, the expansive content spans from sixth grade on up to high school. Material...

Students explore the concept of line of best fit. In this line of best fit lesson, students find lines of best fit in examples about riding your bike home from school and dentistry. Students find two data points and find the line of best...

Students evaluate equations and identify graphs. In this statistics instructional activity, students identify plotted points on a coordinate plane as having a positive, negative or no correlation. They complete basic surveys, plot their...

Students create a scatter plot of their experimental data. In this algebra instructional activity, students use M&M's to determine an algebraic model. They discuss results in class.

Find a statistical reason for a fresh start. Using a hypothetical scenario, individuals research statistical data of three different cities. Their goal? Find the best statistical reason for a business to move to a new location. Their...