significance test: meaning, definition, pronunciation and examples
LowAcademic/Technical
Quick answer
What does “significance test” mean?
A statistical procedure used to evaluate whether data provide sufficient evidence to reject a null hypothesis.
Audio
Pronunciation
Definition
Meaning and Definition
A statistical procedure used to evaluate whether data provide sufficient evidence to reject a null hypothesis.
In broader research contexts, any method that assesses the statistical significance of findings, often involving p-values, test statistics, and critical values.
Dialectal Variation
British vs American Usage
Differences
Minimal; both varieties use the term similarly in technical contexts.
Connotations
Neutral and technical.
Frequency
Equally common in academic writing and statistics.
Grammar
How to Use “significance test” in a Sentence
verb + significance test + (on + noun phrase)significance test + of + noun phraseVocabulary
Collocations
Examples
Examples of “significance test” in a Sentence
verb
British English
- Researchers often test for significance in their data.
American English
- Scientists test for significance to validate their findings.
adverb
British English
- The groups differed significantly based on the test.
American English
- The results varied significantly across conditions.
adjective
British English
- The significant outcome was confirmed by the test.
American English
- A significant difference was found after the analysis.
Usage
Meaning in Context
Business
Used in market research and data-driven decision making to validate insights.
Academic
Fundamental in statistics, psychology, medicine, and social sciences for hypothesis testing.
Everyday
Rarely used; may appear in news reports about scientific studies.
Technical
Standard term in statistical methodology, encompassing tests like t-test, chi-square, ANOVA, etc.
Vocabulary
Synonyms of “significance test”
Vocabulary
Antonyms of “significance test”
Watch out
Common Mistakes When Using “significance test”
- Using 'significance test' to refer to any statistical analysis without specific hypothesis testing.
- Confusing p-value with effect size in the context of significance tests.
FAQ
Frequently Asked Questions
A significance test is a statistical method used to determine if there is enough evidence to reject a null hypothesis, typically based on a p-value.
While both are inferential statistics, a significance test provides a p-value for hypothesis testing, whereas a confidence interval estimates a range for a parameter.
A p-value of 0.05 means that there is a 5% chance of observing the data or something more extreme if the null hypothesis is true, often used as a threshold for statistical significance.
No, significance tests can only provide evidence against the null hypothesis; they do not prove the alternative hypothesis or establish causality.
A statistical procedure used to evaluate whether data provide sufficient evidence to reject a null hypothesis.
Significance test is usually academic/technical in register.
Significance test: in British English it is pronounced /sɪɡˈnɪfɪkəns test/, and in American English it is pronounced /sɪɡˈnɪfɪkəns test/. Tap the audio buttons above to hear it.
Learning
Memory Aids
Mnemonic
Think of a significance test as a detective that checks if data clues are real or just random noise.
Conceptual Metaphor
A sieve that separates signal from noise in data.
Practice
Quiz
What is the main outcome of a significance test?