Experimental error is not uncertainty: how to record measurements without false precision
A practical guide to separating error, uncertainty, resolution, and repeatability in science-fair measurements, with ruler and scale examples.
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How to formulate questions, hypotheses, variables, controls, tables, charts, analyses and conclusions.
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Hypothesis vs. prediction: how to write each one from your experiment variables
Learn how to separate a hypothesis from a prediction, connect independent and dependent variables, and turn an idea into genuinely testable statements.
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Control group vs. controlled variables: the difference that prevents science-fair mistakes
Learn what a control group is, what controlled variables are, and when a school experiment actually needs a reference condition.
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Repeat or replicate? How many measurements does a school experiment need to support a conclusion?
Three measurements are not always three replicates. Learn how experimental units, repeated measurements, pseudoreplication, and sample size affect a school project.
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From a science fair idea to a testable question: variables, controls, and replication
A practical model for turning a broad topic into an experiment by defining variables, control conditions, replication, data, and safety before testing.
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