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50 Cards in this Set
- Front
- Back
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Section 1
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Statement of Problem
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Section 2
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Hypothesis
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Section 3
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Variables
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Section 4
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Standards of Comparison
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Section 5
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Materials and Procedure
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Section 6
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Qualitative Observations
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Section 7
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Quantitative Data
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Section 8
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Analysis and interpretation of data
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Section 9
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Possible Experimental Errors
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Section 10
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Conclusion
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Section 11
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Recommendations for further experimentation
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Section 3a
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Independent Variable
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Section 3b
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Dependent Variable
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Section 3c
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Controlled Variables
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Section 7a
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Data Table
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Section 7b
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Graph(s)
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Section 7c
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Statistics
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Statement of problem
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NGYT ("nugget")
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Hypothesis
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RVST ("rust")
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Variables
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IVID3O DIOD 4C ("iVideo diode force")
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Standards of Comparison
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WILS ("wills")
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Materials and Procedure
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SML SLOW DIRRT ("small slow dirt")
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Qualitative Observations
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TREPD ("trepid")
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Data Table
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RUSCLE ("rustle")
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Graph(s)
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SATTUL ("saddle")
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Statistics
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COVR ("cover")
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Analysis and interpretation of data
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RIDS DUST ("rids dust")
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Possible Experimental Errors
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RICE ("rice")
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Conclusion
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ERARS ("errors")
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Recommendations for further experimentation
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PASS OWF ("Pass auf!" = "Pay attention" in German)
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NGYT
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Narrows down topic area
Generalized variables Yes/no - not one of those Testable |
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RVST
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Rationale
Variables (both types) included Stand is taken Trend predicted |
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IVID3O
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Independent
Variable Identified Defined 3 levels or more Operationally (defined) |
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DIOD
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Dependent variable
Identified Operationally- Defined |
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4C
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4
Controlled variables |
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WILS
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Why SOC?
Identified Logical- Sense |
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SML
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Separate
Material- List |
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SLOW
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(backwards)
Well- Organized Logical- Sequence |
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DIRRT
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Diagrams
Information to- Repeat procedure Repeated- Trials |
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TREPD
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Throughout
Results Extra info Procedure- Deviations |
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RUSCLE
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Raw data
Units Sig figs Condensed table Labeled Example calculations |
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SATTUL
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Scale
Appropriate type Title Trends Units Labeled |
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COVR
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Central tendency
Other stat Variation Regression analysis |
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RIDS
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Response clear, concise
Interpret data Discuss data Supported by data |
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DUST
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Detail
Unusual data points Stats explained Trends |
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RICE
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Reasons for errors
Info about data- Collection Effects of errors |
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ERARS
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Evaluate hypothesis
Restate hypothesis Accept/reject hypothesis Reasons why Support with data |
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PASS
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Practical-
Applications Suggestions for improvement of Specific experiment |
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OWF
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Other-
Ways to look at hypothesis Future experiment suggestions |
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How many sections are there?
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11
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