Polar Bear Panic!

Ground-truthing ... is it even a word? The last installment of a five-part series analyzes how scientists collect sea surface temperature data. Scholars use government websites to compare temperature data collected directly from buoys...

Evaluate global temperature anomalies using real-world data from NASA! Climatologists analyze a data set using a literacy cube and differentiated question sheets. Team members evaluate global temperature anomaly data with basic...

The next time you read a magazine or watch the news, make note of how many graphs you see because they are everywhere! Here, scholars collect, enter, and graph data using computers. The graphs are then analyzed to aid in discussion of...

Young statisticians use and interpret measures of center and spread such as mean, median, and mode as well as range. They use box plots to represent their data and answer questions regarding the correspondence between data sets and the...

Add to your collection of math resources with this extensive series of data analysis worksheets. Whether your teaching how to use frequency tables and tally charts to collect and organize data, or introducing young mathematicians to pie...

Beginning with a discussion about using technology to collect data, this resource includes a video about the next Mars rover as an example. Young scientists are taught that filtering is necessary before collected data can be analyzed....

Demonstrate several ways to represent data with your class. They will use surveys to gather data and display the data using tally charts and graphs. Then answer questions according to the data.

Understanding energy usage requires knowing more than how much energy it takes to charge your cell phone. Scholars learn each text sent uses energy as does each video, game, and phone call. They observe the larger grid of data transfers...

Take the tediousness out of graphing. Using the interactive tool, learners can efficiently create a line graph from a set of data. They then use the graph to answer questions about specific trends in the data.

Students observe clouds. In this deep convective clouds lesson, students analyze cloud data recorded over one month and draw conclusions based on results.  Students predict "Thunderstorm Season" and prepare to defend their decision using...