PPT-From biological experimental data

to regulatory and interaction networks October 23 rd 25 th 2015 HSE Nizhny Novgorod Mario R Guarracino joint work with Marina Piccirillo Sonali Chavan Parijat. Analysis of Biological Data. Ryan McEwan and Julia Chapman. Department of Biology. University of Dayton. ryan.mcewan@udayton.edu. Experimental design is like a game a chess, . you must . think. first, before you move…. Experimental Studies v. Observational Studies. In . experimental studies. , a . treatment. (the independent variable) is applied.. In . observational studies. , you do not . h. ave influence over the independent variables.. The purpose of this PowerPoint is to present strategies to aid students at the high school and introductory college levels to:. Design experiments. Write procedures. Construct tables and graphs. Generate ideas. Experimental probability. : . Probability based on a collection of data.. Will have a table of results or data from the experiment(s)!. What is the difference between . theoretical probability. and . Variation between plots treated alike is . always. present. Modern experimental design should:. provide a measure of experimental error variance. reduce experimental error as much as possible. Natural sources of error in field experiments. US National Combustion Meeting‘17. April 25, 2017. University of Maryland. Pavan. B. . Govindaraju. Matthias . Ihme. Special thanks to . Tim Edwards, AFRL. CRECK Modeling Group in . Politecnico. Di Milano. (Mr. Staeger as a young scientist). Key Concepts and Vocabulary. Key Concepts:. How do we learn new things in science?. What are the steps of the scientific method?. What are the variables in an experiment?. So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . Dr. Chris L. S. . Coryn. Kristin . A. Hobson. Fall 2013. Agenda. Course overview. Introductions. Course pretest examination. Discussion . and questions. Course Material. Website. http. ://www.wmich.edu/evalphd/courses/eval-6970-experimental-and-quasi-experimental-designs-for-applied-research-and-evaluation. M. Betz. (CERN, Geneva). M. . Gasior. (CERN, Geneva). F. . Caspers. (CERN, Geneva). M. . Thumm. (KIT, Karlsruhe). Gentner. day. 10/2011, CERN, Geneva. Outline. Introduction to . IV External Validity . OF THE EVIDENCE-BASED MEDICINE.. THE BIOETHICAL COMITTEES.. Ethical. . e. xperiments . on . humans. . are absolutely necessary . for the progress of medicine. . Definitions. Research . . Lead: Abby Benson (USGS). Co-leads: . Diana . LaScala. -Gruenewald (MBARI, . CeNCOOS. ). Robert McGuinn (NOAA Affiliate). Erin Satterthwaite (UCSD, CA Sea Grant). Integrated Ocean Observing System (IOOS) - Earth Science Information Partners (ESIP) Biological Data Standards Workshop.