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Hypothesis Testing for Zero Correlation
A sample PMCC may suggest correlation, but is it significant in the population? A hypothesis test compares the sample r against a critical value to decide whether the population correlation ρ is zero.
What you'll be able to do
- State hypotheses about ρ
- Choose one- or two-tailed tests
- Compare r with the critical value
- State a conclusion in context
Setting up the test
The population correlation coefficient is . The null hypothesis is (no correlation). The alternative is (two-tailed) or / (one-tailed).
Making the decision
Compare the sample with the critical value (from the table for the given significance level and sample size). If exceeds the critical value, reject — there is evidence of correlation.
Example 1r = 0.78, critical value 0.6319 (5%, one-tailed). Conclusion?
Tip — For a two-tailed test at 5%, use the 2.5% critical value.
Formula recap
Common mistakes to avoid
Key takeaways
- Test H₀: ρ = 0 against a one- or two-tailed alternative.
- Reject H₀ if |r| exceeds the critical value.
- State the conclusion in context.
Test yourself
Answer a few questions, then review anything you missed.
Prefer paper? Open the written self-check
Answer each question before opening its answer. This self-check does not record a quiz score.
The null hypothesis is usually:
Show answer and explanation
Answer:
No correlation.
Hypotheses are stated in terms of:
Show answer and explanation
Answer:
Population parameter.
We reject H₀ when:
- critical value
- critical value
- always
Show answer and explanation
Answer: critical value
r in the critical region.
A two-tailed test at 5% uses the critical value at:
- 2.5%
- 5%
- 10%
- 1%
Show answer and explanation
Answer: 2.5%
Split between tails.
With r = 0.78 > 0.6319, we:
- reject H₀
- accept H₀
- cannot decide
- increase n
Show answer and explanation
Answer: reject H₀
r in critical region.
Check your understanding
Work through questions on Hypothesis Testing for Zero Correlation. Use the feedback to decide what needs another look.
2 past-paper questions · 6 marks
Related lessons
All 3 lessons- Same chapterExponential ModelsLinearising y = abˣ and y = axⁿ with logarithms.
- Same chapterMeasuring CorrelationThe product moment correlation coefficient (PMCC).
- The Normal DistributionHypothesis Testing with the Normal DistributionTesting a mean using the sample mean distribution.
- Hypothesis TestingOne-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.