HL AI · Statistics and Probability

Hypothesis testing — t-test and chi-squared (IB Math AI HL)

Updated October 2026

One-sample and two-sample t-tests when the population variance is unknown. HL AI expects the null, alternative, test statistic, and p-value each stated explicitly.

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Key ideas

Worked example

A test of H₀: μ = 50 against H₁: μ > 50 at the 5% significance level gives a p-value of 0.031. State the conclusion.

  1. Compare the p-value with the significance level: 0.031 < 0.05.
  2. So reject H₀.
  3. In context: there is evidence at the 5% level that the population mean is greater than 50.

Answer: Reject H₀: at the 5% level there is evidence that the mean is greater than 50. At the 1% level the same result would not be enough, since 0.031 > 0.01.

Exam-style HL AI questions on this topic

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5 quick questions on hypothesis testing. No sign-in needed.

A test at the \(1\%\) significance level gives a \(p\)-value of \(0.015\). What do you conclude?
Choose your answer · keys 1–4

Do it on your GDC

A GDC is allowed on every AI paper. Keystrokes for the TI-84 Plus CE, TI-Nspire CX II and Casio fx-CG50, with a checked worked example:

Maths IA ideas that use hypothesis testing

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Stretch yourself: original probability problems at Senior level (ages 16 to 18), with hints and full solutions: Problem S107 · Problem S101 · Problem S29 · Problem S102. All 20 →

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FAQ

Where can I practise hypothesis testing questions?

On the Chi-Square Goodness of Fit, Independence and Error Types questions page: 20 exam-style HL AI questions with full mark schemes, plus free step-by-step worked examples.

Can I use my calculator for hypothesis testing?

Yes: a GDC is allowed on every HL AI paper, so practise the calculator method as well as the working. The t-tests and χ² tests and Confidence intervals guides give the keystrokes for the TI-84 Plus CE, TI-Nspire CX II and Casio fx-CG50.

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