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Topic 4.12Math AI HL8 flashcards

Data collection & validity (HL only)

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Card 1 of 84.12.1
4.12.1
Question

What is the difference between a population and a sample?

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All Flashcards in Topic 4.12

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4.12.18 cards

Card 1concept
Question

What is the difference between a population and a sample?

Answer

The population is every individual of interest; the sample is the subset you actually collect data from. A good sample mirrors the population.

Card 2concept
Question

Define simple random sampling.

Answer

Every member of the population has an equal chance of selection (e.g. names drawn from a hat, or GDC random numbers).

Card 3concept
Question

Define systematic sampling.

Answer

Order the population, choose a random start, then pick every kᵗʰ member down the list.

Card 4formula
Question

How do you find a stratified sample count for one group?

Answer

(group size ÷ population size) × sample size. Each stratum is sampled in proportion to its size.

Card 5concept
Question

How do quota and stratified sampling differ?

Answer

Both target groups in proportion, but stratified picks members randomly within each group, while quota lets the interviewer choose — so quota is non-random and can be biased.

Card 6concept
Question

Why is convenience sampling risky?

Answer

It surveys whoever is easiest to reach, so the sample is usually unrepresentative — it tends to over- or under-represent certain people, giving biased estimates.

Card 7concept
Question

What does reliability mean for a test or measure?

Answer

Consistency — repeating the measurement gives (almost) the same result each time (small random error).

Card 8concept
Question

What does validity mean for a test or measure?

Answer

It measures what it is supposed to measure, with no systematic bias. A measure can be reliable yet still invalid (consistently wrong).

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