This research term changes how strongly a study can support a claim and whether its findings apply to the ingredient, dose, population, and product being discussed.
Evidence & Research Literacy glossary
Statistical significance: meaning, context, and what to check.
A statistical indication evaluated under a defined model; it does not automatically mean an effect is large, important, or useful.
IPA and plain-English pronunciationDirect answer and decision contextSources and review date
Definition in one sentence
What does Statistical significance mean?
A statistical indication evaluated under a defined model; it does not automatically mean an effect is large, important, or useful.
How to pronounce Statistical significance
stuh-TIS-tih-kuhl sig-NIF-ih-kuhns
IPA/stə.ˈtɪ.stɪ.kəl səɡ.ˈnɪ.fɪ.kəns/Sounds likestuh-TIS-tih-kuhl sig-NIF-ih-kuhns
Common American English pronunciation.
The presence of a study term does not prove causation, a meaningful everyday benefit, or that the retail product matches the studied material.
- Identify the study type, population, sample size, formula, dose, duration, and outcome.
- Separate statistical significance from practical or clinical meaning.
- Review limitations, conflicts of interest, and whether findings were replicated.
Example
How does Statistical significance appear in a real decision?
Practical example
A headline may describe evidence as “Statistical significance”; read the study design and what was actually measured before accepting the claim.
Decision context
Why does Statistical significance matter?
This research term changes how strongly a study can support a claim and whether its findings apply to the ingredient, dose, population, and product being discussed.
Label and use checklist
What should you check when you see Statistical significance?
- Identify the study type, population, sample size, formula, dose, duration, and outcome.
- Separate statistical significance from practical or clinical meaning.
- Review limitations, conflicts of interest, and whether findings were replicated.
Claim boundary
What does Statistical significance not prove?
The presence of a study term does not prove causation, a meaningful everyday benefit, or that the retail product matches the studied material.
Clear the shortcuts
What are common misunderstandings about Statistical significance?
Any published study is not automatically strong evidence.
Research on cells, animals, or a different extract cannot be treated as proof for every consumer product.
PAA-style answers
Questions people also ask about Statistical significance
What is Statistical significance?
A statistical indication evaluated under a defined model; it does not automatically mean an effect is large, important, or useful.
How do you pronounce Statistical significance?
A common American English pronunciation is stuh-TIS-tih-kuhl sig-NIF-ih-kuhns. In the International Phonetic Alphabet, it is written /stə.ˈtɪ.stɪ.kəl səɡ.ˈnɪ.fɪ.kəns/.
Why does Statistical significance matter?
This research term changes how strongly a study can support a claim and whether its findings apply to the ingredient, dose, population, and product being discussed.
What should you check when you see Statistical significance?
Identify the study type, population, sample size, formula, dose, duration, and outcome. Separate statistical significance from practical or clinical meaning. Review limitations, conflicts of interest, and whether findings were replicated.
Does Statistical significance prove that a mushroom product is better, safe, or effective?
The presence of a study term does not prove causation, a meaningful everyday benefit, or that the retail product matches the studied material.
What does Statistical significance not prove?
The presence of a study term does not prove causation, a meaningful everyday benefit, or that the retail product matches the studied material.
Related guides and terms
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Maintained reference
Sources, review, and corrections
This definition uses authoritative labeling, taxonomy, research-literacy, or cultivation sources and applies them conservatively to consumer decisions.