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Join us for the Experimental Design challenge at the Science Olympiad Summer Institute in Phoenix, AZ from July 16-20, 2012. Teams will demonstrate their ability to design, conduct, and report findings of an experiment based on a question assigned by supervisors. Participants will be evaluated on their understanding of variables, procedure clarity, data analysis, and overall experimental control. All necessary materials will be provided. Get ready to showcase your scientific skills and creativity in this exciting competition!
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Science Olympiad Summer Institute Phoenix, AZ July 16 – 20, 2012 EXPERIMENTAL DESIGN
DESCRIPTION Determine a team’s ability to design, conduct, and report the findings of an experiment
PARAMETERS • STUDENTS (mandatory) • ANSI Z87 indirect vent chemical splash goggles • Writing instrument(s) • STUDENTS (optional) • Timepiece • Ruler • Non-programmable calculator NOTE: Chemicals requiring safety clothing will not be used.
THE COMPETITION • Supervisors will provide teams with identical sets of materials • If materials are given to teams in a container the container is considered part of the materials
COMPETITION (cont.) • Nature of the experiment is determined by a question/topic area assigned by Supervisor • Same for all teams • Allow for experiments involving independent and dependent variables
SCORING Experimental Design Rubric • Max. Pts.: B – 61 C - 66 • Tiebreaker Sequence • Variables • Procedure • Analysis of results • Graph • Data table • Teams not addressing the question/topic will be ranked behind others
1. Statement of Problem – 4 pts. • Not a yes/no question • Include independent and dependent variables • Problem is clearly testable • Written in a clear and concise manner
2. Hypothesis • Predicts a relationship or trend • Gives specific direction to the prediction • Includes both independent and dependent variables • Provides a rational for the hypothesis
3a. Independent Variable – 3 pts • Operationally defined • Correctly identified • Has at least 3 levels
3b. Dependent Variable – 3 pts • Correctly defined (2 pts) • Operationally defined
3a. Controlled Variables – 4 pts • One point for each correctly defined constant • up to a maximum of 4 points
4. Experimental Control – 2 pts(where appropriate) • Correctly identified • Makes logical sense for the experiment
5. Materials – 3 pts • All materials used are listed • No extra materials are listed • Listed separately from procedure
6. Procedure – 6 pts • Well organized • In logical sequence • Enough information is given to make experiment replicable • Includes diagrams • Has repeated trials
7. Qualitative Observations – 4 pts Includes observations about • Results • Procedure/deviations from procedure • Results not relating to dependent variable • Things that happen during course of experiment • VIDEO
8. Quantitative Data – 6 pts • All raw data is provided • All data has units • Condensed table with most important data • Table is correctly labeled • Example calculations are included • Uses correct significant figures (C division)
9. Graph(s) – 6 points • Appropriate type of graph • Has a title • Labeled correctly (2 pts) • Units included • Appropriate scale
10. Statistics – 2/6 pts B Division – 2 pts • Uses average, median, or mode • Statistic used is appropriate for data C Division – 6 pts • Uses average, median, or mode • Statistic used is appropriate for data • Measure of central tenency • Measure of variation • Regression analysis • Other appropriate statistic used
11. Analysis of Data – 4 pts All statements must be supported by data collected • All data is discussed and interpreted • Unusual data points commented upon • Trends in data explained • Enough detail provided to explain data
12. Experimental Errors – 3 pts • Reasons for errors • Important information about data collection • Effect of errors on data
13. Conclusion – 4 pts • Hypothesis is evaluated by given data • Hypothesis is restated • Reasons to accept/reject hypothesis • All statements are supported by data
14. Applications/Further Research – 4 pts • Improvement of experiment • Alternative interpretation of data • Future experiments • Practical application(s) of information discovered from experiment