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Tracey A Hayden
Survey of basic understanding of statistics, experimental design, and cellular components
out of 5 stars
18 Oct 2012 | | Contributor(s):: Ed Bartlett
This is an assessment of statistics, experimental design, and cellular components that has been used pre and post course for a cell biology class consisting mainly of biomedical and chemical engineers. Some of the statistics questions and the biology questions were developed by Ed Bartlett, and...
Confocal Laser Scanning Microscopy for Plant Biology and Agriculture
18 Oct 2012 | | Contributor(s):: Nicola Carraro
Developed by Nicola Carraro and Wendy PeerObjective: Design a transferable module that combines quantitative data collection and design a transferable module that combines quantitative data collection and analysis together with microscopy.
Enhancing Experimental Design: Minimizing Confounding Factors
17 Oct 2012 | | Contributor(s):: Allison Sieving
Developed By: Allison Sieving and Marcia PoolBiological Question: The content of this module focuses upon refinement of the experimental designprocess and thus can be applied to a wide variety of biological courses. The activities developed for this module were developed so that it may be...
Lab 4: Broader Significance and Real-World Applications
06 Mar 2012 | | Contributor(s):: Nancy Emery
Today's lab activity aims to integrate the knowledge you have acquired over the past three weeks with "real world" challenges and constraints that may accompany restoration decisions. Working in groups, you will (1) address a series of questions about your team's approach to your particular...
Two steps forward: Interpreting results reported with scientific figures
06 Mar 2012 | | Contributor(s):: Nancy Pelaez, Harmony Dalgleish
The focus of the module is on interpreting figures from the scientific literature. To do this, students must differentiate between categorical and continuous variables, identify the dependent and independent variable, understand treatments, interpret visual presentation of variation and draw and...
Cisplatin: Observation and Serendipity
06 Mar 2012 | | Contributor(s):: James Forney
This lesson is part of a sophomore level biochemistry course to introduce the concepts of experimental design. Students are provided with the description of an experiment designed to examine the effect of an electric field on bacterial growth. They are given initial observations from the...
06 Mar 2012 | | Contributor(s):: Ann Rundell, Kate Stuart
This module is intended to refresh or introduce students to aspects of experimental design, enhance their understanding that the experiment design should support appropriate statistical analysis of the data, and promote the students' recognition that there is often more than one possible way to...
Lab 1: Plant Responses to Burn Season at Konza Prairie
This lab uses data published in Towne and Kemp (2003) to investigate the effects of fire disturbance on plant populations and communities in the tallgrass prairie. You will create and interpret graphical representations of the data to evaluate the central question of the lab (stated below) and a...
Lab 2: Plant Responses to Burn Season at Prophetstown State Park
In this lab we will collect our own data on plant community composition in a recently restored tallgrass prairie site at Prophetstown State Park. We aim to compare the communities of two parcels that are burned in different seasons, and ultimately compare our results to those reported for Konza...
Listen! Do you smell something? Signal Detection Theory in Biology
06 Mar 2012 | | Contributor(s):: Ed Bartlett
How do organisms detect changes in their environment, and how do scientists and their instruments detect changes in experimental conditions, such as: How does a photoreceptor detect the presence of a photon? How does a doctor detect the presence of a tumor? How does a cell detect the presence of...
Osmosis and the Representation of Data
06 Mar 2012 | | Contributor(s):: Stephanie Gardner
Little Niche on the Prairie
22 Feb 2012 | | Contributor(s):: Nancy Emery
Students learn to create and analyze graphs associated with a published ecological experiment and the different ways of illustrating sources of variation in a complex data set to effectively present results.