One-tailed and two-tailed p-values. When to use them in statistics
🔹 Definition
P-value in statistics tells us how extreme our observed data is, assuming the null hypothesis (H₀) is true.
The difference between one-tailed and two-tailed p-values depends on what kind of difference or effect we are testing for.
🔸 1. Two-Tailed Test
You use a two-tailed test when you’re testing for any significant difference —
either greater than or less than a certain value.
✅ Example:
Suppose the average blood pressure (BP) in a population is 120 mmHg.
You want to test whether a new drug changes BP (it could increase or decrease).
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Null hypothesis (H₀): μ = 120
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Alternative hypothesis (H₁): μ ≠ 120
If your sample mean = 126, and the calculated p-value = 0.04 (two-tailed),
then this means there’s a 4% chance of observing such an extreme difference (either direction) if the true mean were really 120.
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If α = 0.05, since 0.04 < 0.05 → Reject H₀.
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Conclusion: The drug significantly changes BP (either up or down).
🔸 2. One-Tailed Test
You use a one-tailed test when you only care about one direction —
either increase or decrease, not both.
✅ Example:
You believe the drug reduces BP (not increases).
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Null hypothesis (H₀): μ = 120
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Alternative hypothesis (H₁): μ < 120
If your sample mean = 114, and the two-tailed p-value = 0.04,
then the one-tailed p-value = 0.02 (half of it, since only one direction is tested).
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If α = 0.05, 0.02 < 0.05 → Reject H₀.
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Conclusion: The drug significantly reduces BP.
But if the drug increased BP to 126, the one-tailed p-value (for “μ < 120”) would be > 0.05 → Not significant,
because the effect is in the opposite direction.
🔹 In Summary
| Aspect | One-Tailed Test | Two-Tailed Test |
|---|---|---|
| Direction tested | One (>, or <) | Both (≠) |
| p-value | Area in one tail | Area in both tails |
| Hypothesis | H₁: μ > μ₀ or μ < μ₀ | H₁: μ ≠ μ₀ |
| When used | Effect in a known direction | Any difference possible |
| Example | “Drug lowers BP” | “Drug changes BP” |
💡 Tip:
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Use two-tailed when you’re exploring or uncertain of direction.
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Use one-tailed only when a specific direction is logically or clinically justified before testing.
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