significant with p-value vs can be considered significant with p-value

Both phrases are not directly comparable as they convey slightly different meanings. 'Significant with p-value' is a common phrase used in statistical analysis to indicate the significance level of a result. On the other hand, 'can be considered significant with p-value' adds a conditional aspect to the statement. Depending on the context, one might be more appropriate than the other.

Last updated: March 17, 2024 • 878 views

significant with p-value

This phrase is correct and commonly used in statistical analysis to indicate the significance level of a result based on the p-value.

This phrase is used in statistical analysis to describe the significance of a result based on the p-value obtained from hypothesis testing.

Show examples from the web [+]

Now we see that the difference is significant with p value 0.022, which is less than 0.05. The reason why the two trials produce differently significant results is ...
Mar 14, 2012 ... After I run the weighted ANOVA model in SAS, I find one of my fixed effects is not significant with p-value = 0.3, but when I run LSMEANS on that ...
Aug 20, 2014 ... ... residents (21.3%) which was found to be highly significant with p-value <0.001. CONCLUSION: Present study highlights the need of repeated ...
If the Chi Squared value is significant with p-value below an appropriate threshold (e.g. p<0.05) then the null hypothesis of homoscedasticity is rejected and ...

can be considered significant with p-value

This phrase is correct and adds a conditional aspect to the statement, implying that the significance level depends on the p-value.

This phrase is used when there is a need to express that the significance of a result is contingent upon the p-value obtained from hypothesis testing.

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significant with p-value vs can be considered significant with p-value