PPT-Concepts of Experimental Design

Analysis of Biological Data Ryan McEwan and Julia Chapman Department of Biology University of Dayton ryanmcewanudaytonedu Experimental design is like a game a chess you must think first before you move. et al et al et al brPage 2br i ii 2 GEOMETRY AND PARAMETERS Main Features Symbol Value brPage 3br 3 EXPERIMENTAL MEASUREMENTS pp pp brPage 4br RR F Fr Fr Fr Fr 4 NUMERICAL RESULTS brPage 5br Fr Fr 5 CONCLUSIONS Fr ACKNOWLEDGEMENTS REFERENCES brPage Our collaborators include established professional artists as well as new performers that excite and inspire us. . In addition to broadcasting locally and maintaining a free Internet archive, . we engage with the community by curating live multimedia performances, . 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. Aditya. G. . Parameswaran. Stanford University. Joint work with: . Hector Garcia-Molina (Stanford) and . Anand. . Rajaraman. (. Kosmix. Corp.). . 1. Motivating Examples. tax assessors san . antonio. Researcher manipulates the independent variable (usually to create groups) and then compares the groups in terms of their scores on the dependent variable (outcome measure) while keeping all other variables constant through direct experimental control or randomization- If score on the dependent variable are different then the researcher can conclude that the difference was due to the difference between groups and no other cause (and the experiment will have internal validity) . Tyler Bassett and Tomomi Suwa. 12.07.2011. Designing A Scientific Study. Thoughts on Experimental Design. Two types of studies. 1) Observational . . 2) Experimental. Observational Study. -Observe subjects and measure variables of interest . 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. Patricia Lockwood & . Rumana. . Chowdhury. MFD . – Wednesday . 12. th. 2011. Overview. Experimental Design. Types of Experimental Design. Timing parameters – Blocked and Event-Related . & Mixed design.