statistical significant vs significance level

Both phrases are correct, but they are used in different contexts. 'Statistical significant' refers to the result of a statistical test indicating whether an observed effect is likely due to chance or not. 'Significance level' refers to the threshold set to determine whether the result is statistically significant or not.

Last updated: April 01, 2024

statistical significant

This phrase is correct and commonly used in statistics to describe the result of a statistical test.

This phrase is used to describe the outcome of a statistical test, indicating whether an observed effect is likely due to chance or not.

Examples:

The difference in means was found to be statistically significant at the 0.05 level.
The correlation between the variables was not statistically significant.

Alternatives:

statistically significant
statistically significant result
statistically significant finding
statistically significant outcome
statistically significant effect

significance level

This phrase is correct and commonly used in statistics to refer to the threshold set to determine statistical significance.

This phrase is used to define the threshold at which a result is considered statistically significant or not.

Examples:

The significance level was set at 0.01 for the study.
Results with a p-value below the significance level are considered statistically significant.

Alternatives:

alpha level
critical value
threshold level
confidence level
level of significance

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statistical significant vs significance level