Back to Topic 4.18 — t & z tests, errors (HL only)
4.18.1Math AI HL8 flashcards

t-tests and z-tests

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Card 1 of 84.18.1
4.18.1
Question

What does the p-value of a hypothesis test measure?

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All 8 Flashcards — t-tests and z-tests

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Card 1concept

Question

What does the p-value of a hypothesis test measure?

Answer

The probability of getting data at least this extreme if H₀ were true. Small p = the data are surprising under H₀.

Card 2formula

Question

State the decision rule for a hypothesis test.

Answer

p < α → reject H₀; p ≥ α → fail to reject H₀ (α = significance level).

Card 3concept

Question

When do you use a z-test vs a t-test?

Answer

z-test when the population σ is known; t-test when σ is unknown (you only have the sample sd) — the usual case.

Card 4concept

Question

One-sample vs two-sample test?

Answer

One-sample: compare one group's mean to a fixed claimed value. Two-sample: compare two independent groups' means.

Card 5concept

Question

When is a test one-tailed vs two-tailed?

Answer

One-tailed for a directional H₁ (μ < or μ >); two-tailed for H₁: μ ≠ (a difference either way).

Card 6concept

Question

What is a paired (matched) t-test for?

Answer

When the same subjects are measured twice (before/after). Test the mean of the differences d: H₀: μ_d = 0.

Card 7concept

Question

Why must you never say you 'accept H₀'?

Answer

A test can only fail to find evidence against H₀ — absence of evidence isn't proof. Say 'do not reject H₀'.

Card 8concept

Question

Where do the final marks in an AI hypothesis-test question usually sit?

Answer

In the in-context conclusion — naming the real quantities (bottles, runners…), not just 'reject H₀'.

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