# Activity Browse

# Subject

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# Quantitative Skills

- Algebra 2 matches
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# New Pedagogic Methods

# Grade Level

# Pedagogy: Teaching with Data

Results 81 - 100 of **181 matches**

Monohybrid Fruit Fly Crosses: A Simulation

Jeff Bell, California State University-Chico

This assignment uses a computer simulation of fruit fly genetics to have students design and interpret monohybrid crosses of a trait with simple dominant and recessive alleles. Detailed instructions with animated examples, background material, a sample report and a rubric are included.

Writing a Wikipedia Genetic Disease Article

Jeff Bell, California State University-Chico

Writing a Wikipedia article about a genetic disease is a good culminating activity for a genetics course or module, as it requires synthesizing and interpreting a wide range of genetic information. This assignment also includes a potential service component, which is normally very difficult in genetics.

Phenylketonuira

Scott Cooper, University of Wisconsin-La Crosse

In this activity, students are assigned different alleles of the gene for phenylalanine hydroxylase to research using OMIM (Online Mendelian Inheritance in Man). They are then asked to both explain and illustrate how this mutation may cause the disease phenylketonuria (PKU).

Plant Pest Control

Jim Bidlack, University of Central Oklahoma

This learning experience introduces participants to scientific inquiry, hypothesis formation, experimental design, data analysis, and interpretation.

Influence of Outliers on Correlation

Roger Woodard, North Carolina State University

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 jbg@umn.edu

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 at 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.

Stream Characteristics Lab

Wendy Van Norden, harvard-westlake school

Students determine the relationship between the sinuosity of a river and its gradient by calculating gradients and sinuosity, and generating a graph on Excel. They then test the relationship by making measurements on a picture generated on Google Earth.

Using an Applet to Demonstrate Confidence Intervals

Roger Woodard, North Carolina State University

Students will utilize an applet to further expand their knowledge of confidence intervals.

Virtual Photoelectric Lab

This page authored by Terry Bradfield, based on a simulation authored by Angel Franco Garcia. The original activity (in Spanish) is located at: http://www.sc.ehu.es/sbweb/fisica/cuantica/fotoelectrico/fotoelectrico.htm

This is a virtual lab activity on the photoelectric effect based on a Java applet simulation of the experiment.

Tropical Cyclones and Global Change

Jenni Evans, Pennsylvania State University-Main Campus

This is a full semester project focusing on tropical cyclones and climate change for my undergraduate tropical meteorology class. It consists of five parts, outlined below.

Analyzing Hurricanes

Ben Laabs, SUNY College at Geneseo

The exercise uses GIS to explore historical data on hurricanes (path, strength, name). Students identify trends in hurricane records, the impact of hurricanes on major U.S. cities, and how hurricanes change through ...

Course profile: Oceans and Our Global Environment

Simon Brassell, Indiana University Entry level oceanography course, 71-150 students Information for this profile was provided by Simon Brassell in 2007. Information is also available on the course website. Jump ...

Course profile: Oceans and Our Global Environment

Simon Brassell, Indiana University Entry level oceanography course, 71-150 students Information for this profile was provided by Simon Brassell in 2007. Information is also available on the course website. Jump ...

Global Patterns

Federica Raia, The City College of New York

Based on my research on how best to enhance students' understanding of complex systems, I utilize various activities to support pattern recognition, a fundamental skill to understanding complex systems ...

Reasons for the Seasons

Jeff Thomas, Central Connecticut State University

The inquiry method and meteorological and astronomical online data can be used to elicit the inconsistencies of students' naïve ideas about the "real" reasons for the seasons. The first phase of this two-part investigation uses online meteorological data to identify factors that might explain differences of seasonal temperatures among cities These factors are used to hypothesize why differences of seasonal temperatures occur among cities. During the second phase, the variables and hypotheses that were previously identified in part one are used to design and conduct an inquiry-oriented investigation. Astronomical data is used as part of the investigation to "test" students' hypotheses— conclusions are drawn then communicated.

Arctic Climate Curriculum, Activity 3: Exploring Arctic Climate Data

Karin Kirk, Independent Educational Consultant; Anne Gold, University of Colorado at Boulder

Students dig into authentic Arctic climate data to unravel some causes and effects related to the seasonal melting of the snowpack. In particular, students learn about albedo and its relationship to snowmelt. This ...