Core Science Concepts Quiz

Formulating testable hypotheses and revising them based on evidence

Asserting beliefs until widely accepted

Collecting facts without using predictions

Relying on authority instead of experiments

Repeating the same favored experiment indefinitely

Waiting for consensus before examining data

Designing tests that could disprove your idea

Only using data that supports your hypothesis

They isolate the effect of the variable being tested

They speed up experiments by removing replication

They guarantee the hypothesis is true

They are only needed for complex studies

When two variables change in opposite directions

When data samples are very large

When variables are measured precisely

When a hidden variable can explain both correlated factors

Question claims, examine methods, and weigh evidence before updating belief

Accepting expert statements without review

Rejecting any new idea unless it matches intuition

Demanding absolute proof before considering data

It prevents others from testing similar ideas

It confirms findings are robust and not due to chance or error

It ensures experiments always use identical equipment

It allows one lab to claim permanent ownership of a finding

Viewing models as approximations with known limits

Assuming models are exact representations of reality

Discarding models that don't match intuition

Using models without assessing input data quality

Report confidence ranges and explain assumptions behind estimates

Only report single best estimates without context

Avoid mentioning uncertainty to appear decisive

Use technical jargon to obscure limits