Scientific Hypotheses and Predictions

Aug 31, 2025

Overview

This lecture introduces the scientific hypothesis and prediction, clarifying their differences, relationships, and importance for experimental science reasoning and testing.

Scientific Hypothesis vs. Prediction

  • A hypothesis is a potential explanation for an observation or phenomenon ("why" something happens).
  • A prediction states what will happen in the future, often as a result of an experiment, but does not explain why.
  • A hypothesis implies one or more predictions; if the hypothesis is true, its predictions must be true.
  • If a prediction is false, the hypothesis it derives from is also false.
  • A prediction being true does not guarantee the hypothesis is true, since multiple hypotheses can make the same prediction.

Testing Hypotheses and Predictions

  • A scientific hypothesis must be testable—it must make at least one prediction that could prove it wrong (falsifiable).
  • Hypotheses often involve mechanisms or unobservable factors and cannot be directly tested in a single observation.
  • Hypotheses are tested indirectly by testing their predictions; predictions are tested directly through measurement.
  • Disconfirming a prediction can falsify a hypothesis, while confirming a prediction can only show consistency, not proof.

Example: Acid Rain and Fish Deaths

  • Observation: Fish are dying in a lake.
  • Hypothesis: Acid rain from industrial air pollution is causing the deaths.
  • Prediction: The lake water will be acidic.
  • Testing: Measure the lake's pH; neutral pH would falsify the hypothesis.
  • True prediction does not confirm the hypothesis, since other factors could cause acidic water.

Summary Table (Conceptual Points)

  • Hypothesis: explanatory, primary, tested indirectly, can only be falsified.
  • Prediction: non-explanatory, secondary, tested directly, can be true or false.

Key Terms & Definitions

  • Hypothesis — A potential, testable explanation for an observation or phenomenon.
  • Prediction — A specific statement about what will happen if the hypothesis is accurate.
  • Falsifiable — Capable of being proven false by an observation or experiment.

Action Items / Next Steps

  • Review the relationships and differences between hypotheses and predictions.
  • Be prepared to apply these concepts in experimental design and scientific reasoning.
  • Watch upcoming videos for more on mechanisms and hypothesis testing.