Not all functions are created equal. Pupils apply regression analysis using polynomial, exponential, and logarithmic functions to investigate the relationship between variables and to decide which function would be best to model the...

Will more deer result in more big game licenses? Scholars first research data on the number of deer and the number of big game licenses in Virginia between 1990 to 2009. They apply polynomial, exponential, and logarithmic regression to...

Can people predict the number of future divorces? Scholars research and analyze data on the number of divorces and teenage pregnancies in Virginia over time. They use the data to create graphs, determine the best-fit equations, and make...

High schoolers analyze environmental science data using Math. They do research about renewable energy, gather data, create graphs and interpret their findings. Then the group presents their arguments persuasively using their findings to...

Students create a scatter plot for bivariate data and find the trend  line to describe the correlation for the sports teams. In this scatter plot lesson, students analyze data, make predictions,and use observations about sports data...

Students investigate the reasons for taking a census and determine the problems that are involved in the process. They examine the population figure for Montana and Lake county before using the information to complete the included...

Students sequence and model the events leading to the formation of the southeastern coast of the United States, including the formation of the South Atlantic Bight.

Students examine real-world data relating to real estate. They conduct Internet research, record data regarding real estate in major cities, graph the data, calculate mortgage payments using a mortgage calculator, and analyze the data.

Pupils develop a process for analyzing collected bayou data. They find the mathematical relationships among various biological factors. Students, work collaboratively using technology in their data analysis.