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Pedagogy: Teaching with Data
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River Flooding and Erosion
Bill Dupre, University of Houston-University Park
Students take a real-life situation (river flooding and erosion), use real flood and map data, and make predictions and recommendations as to what to do to help alleviate the problem.
Learn more about this review process.
Using an Applet to Demonstrate Confidence Intervals
Students will utilize an applet to further expand their knowledge of confidence intervals.
Influence of Outliers on Correlation
In this visualization activity, students will observe their instructor create a scatterplot and observe how the correlation coefficient changes when outlier points are added. Students are then given a follow up assignment which guides them through the applet. In addition, the assignment provides insight about outliers and their effect on correlation.
Coke vs. Pepsi Taste Test: Experiments and Inference about Cause
This lesson plan and activity are based on material from the NSF-funded AIMS Project (Garfield, delMas and Zieffler, 2007). For more information contact Joan Garfield at email@example.com
The Coke vs. Pepsi Taste Test Challenge has students design and carry out an experiment to determine whether or not students are able to correctly identify two brands of cola in a blind taste test. In the first ...
Reese's Pieces Activity: Sampling from a Population
This activity is based on an adaptation by Joan Garfield and Dani Ben-Zvi of an activity from Rossman and Chance (2000), Workshop Statistics: Discovery with Data, 2nd Edition.
This activity uses simulation to help students understand sampling variability and reason about whether a particular samples result is unusual, given a particular hypothesis. By using first candies, then a web applet, and varying sample size, students learn that larger samples give more stable and better estimates of a population parameter and develop an appreciation for factors affecting sampling variability.
Simulating Size and Power Using a 10-Sided Die
Erin Blankenship, University of Nebraska--Lincoln
This group activity illustrates the concepts of size and power of a test through simulation. Students simulate binomial data by repeatedly rolling a ten-sided die, and they use their simulated data to estimate the size of a binomial test.
Simulating the Effect of Sample Size on the Sampling Distribution of the Mean
David Lane, Rice University
A java applet that simulates the sampling distribution of the mean. It allows students to explore the effect of sample size.
Simulating a P-value for Testing a Correlation with Fathom
Robin Lock, St. Lawrence University
This activity has students use Fathom to test the correlation between attendance and ballpark capacity of major league baseball teams by taking a sample of actual data and scrambling one of the variables to see how the correlation behaves when the variables are not related. After displaying the distribution of correlations for many simulated samples, students find an approximate p-value based on the number of simulations that exceed the actual correlation.
Microsoft Excel Basic Tutorial
Dave Hirsch, Western Washington University
This assignment walks students through the creation of an Excel spreadsheet, step by step. It includes numerical fills via copy, creation of fixed and relative formulas, formula fill via copy, and some summary ...
Shift in life expectancy
Determining the shift in expected life span over a century and the social and environmental impact
Conservation of energy of while rolling down a hill
Students analyze video clips of kids rolling down a hill on skates, scooters, and bikes to determine whether mechanical energy is conserved.
Archimedes and Pi
Christina Stringer, University of South Florida-St. Petersburg
Spreadsheets across the Curriculum Activity. Student build spreadsheets that allow them to estimate pi using the same iterative process as Archimedes.
Mineral Density: Teaching accuracy, slope, and percent error in the Earth science classroom
Mary Colson Horizon Middle School Moorhead, MN
This activity is a lab investigation in which students make mass/volume measurements of several samples of the same mineral to determine the mineral's density. Students graph their data and make the connection between their qualitative understanding of what density is and the mathematical/graphical representation of density.