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Two-Tailed Tests
A two-tailed test checks whether something has simply changed — in either direction. The significance level is split between the two tails, so each tail gets half, and the alternative hypothesis uses ≠.
What you'll be able to do
- Recognise when a two-tailed test is needed
- Write the two-sided alternative hypothesis
- Split the significance level between tails
- Carry out and conclude a two-tailed test
Either direction
Use a two-tailed test when the question asks whether a value has or is — without specifying up or down. The alternative hypothesis uses .
Splitting the significance level
Because either tail counts as significant, the significance level is between the two tails. A 5% two-tailed test uses 2.5% in each tail.
Tip — Two-tailed at 5% means comparing each tail probability to 2.5%, not 5%.
Carrying out the test
Decide which tail the observed value is in, then compare that tail’s probability to . If it is smaller, reject . Conclude in context, stating there is evidence of a change.
Example 15% two-tailed test; observed result has lower-tail probability 0.02. Decision?
Formula recap
Common mistakes to avoid
Key takeaways
- Two-tailed: tests for a change in either direction (H₁ uses ≠).
- The significance level is split, α/2 in each tail.
- Compare the relevant tail probability to α/2, then conclude in context.
Test yourself
Answer a few questions, then review anything you missed.
Check your understanding
Work through questions on Two-Tailed Tests. Use the feedback to decide what needs another look.
5 past-paper questions · 10 marks
Related lessons
All 4 lessons- Same chapterHypothesis TestingUnderstanding the principles of hypothesis testing.
- Same chapterFinding Critical ValuesFinding critical values for hypothesis tests.
- Same chapterOne-Tailed TestsUnderstanding and performing one-tailed hypothesis tests.
Put the methods into practice: see how A-Level maths duels work. An account is required to play; the overview and sample are public.