Should the p-value approach and critical-value approach always agree?
I sometimes get confused because a test statistic seems close to the critical value but the p-value feels different. Are the two approaches supposed to give the same decision?
Yes, they should agree if you use the same alternative hypothesis, significance level, and tail direction.
For a right-tailed 5% test:
- Critical-value approach: reject if the statistic is greater than the right-tail critical value.
- P-value approach: reject if the right-tail p-value is less than 5%.
The approaches can seem inconsistent when the tail is mixed up. For example, using a one-tailed p-value for a two-tailed test can make the evidence look stronger than it really is.
So if your answers conflict, check the tail before checking the arithmetic.
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