1.3StatisticsStretch

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.

26 min Regression, Correlation and Hypothesis Testing
Edexcel A Level Maths: 1.3 Hypothesis Testing for Zero CorrelationCurated by Kepler, not produced by us. Watch it before the notes below.
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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
1

Setting up the test

The population correlation coefficient is ρ\rho. The null hypothesis is H0:ρ=0H_0: \rho = 0 (no correlation). The alternative is ρ≠0\rho \ne 0 (two-tailed) or ρ>0\rho > 0 / ρ<0\rho < 0 (one-tailed).

H0:ρ=0H_0: \rho = 0
No correlation in the population.
2

Making the decision

Compare the sample ∣r∣|r| with the critical value (from the table for the given significance level and sample size). If ∣r∣|r| exceeds the critical value, reject H0H_0 — there is evidence of correlation.

Example 1r = 0.78, critical value 0.6319 (5%, one-tailed). Conclusion?
10.78>0.63190.78 > 0.6319.
2Reject H0H_0: evidence of positive correlation.
Answer
Significant — reject H₀.

Tip — For a two-tailed test at 5%, use the 2.5% critical value.

Formula recap

H0:ρ=0, H1:ρ≠0H_0: \rho = 0, \ H_1: \rho \ne 0
Two-tailed.
∣r∣>critical value⇒reject H0|r| > \text{critical value} \Rightarrow \text{reject } H_0
Decision rule.

Common mistakes to avoid

Writing hypotheses about r instead of ρ.
Hypotheses are about the population parameter ρ.
Using the full significance level for a two-tailed test.
Halve it (e.g. 5% two-tailed uses the 2.5% value).

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.

  1. The null hypothesis is usually:

    • ρ=0\rho = 0
    • ρ=1\rho = 1
    • r=0r = 0
    • ρ>0\rho > 0
    Show answer and explanation

    Answer: ρ=0\rho = 0

    No correlation.

  2. Hypotheses are stated in terms of:

    • ρ\rho
    • rr
    • nn
    • xx
    Show answer and explanation

    Answer: ρ\rho

    Population parameter.

  3. We reject H₀ when:

    • ∣r∣>|r| > critical value
    • ∣r∣<|r| < critical value
    • r=0r = 0
    • always
    Show answer and explanation

    Answer: ∣r∣>|r| > critical value

    r in the critical region.

  4. 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.

  5. 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.

Next step

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

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