AP®︎ Statistics (pre-2026): Topic 3.3 Flashcards

Master key terms and definitions for Topic 3.3 of AP Statistics (pre-2026) – Random Sampling and Data Collection to help you prep for quizzes and the AP exam.


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Term

Random Sampling

Definition

Using a chance process to choose members of a population for a sample.

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Random Sampling
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Using a chance process to choose members of a population for a sample.

DAT-2.C
Sampling With Replacement vs. Sampling Without Replacement
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With replacement allows repeats; without replacement allows each population member to be chosen only once.

DAT-2.CDAT-2.C.1
Simple Random Sample (SRS)
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A sample where every possible group of a given size has an equal chance.

DAT-2.CDAT-2.C.2
How to Select a Simple Random Sample
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Label all individuals, then use random numbers to choose the required distinct labels.

DAT-2.CDAT-2.C.2
Stratified vs. Cluster Sampling
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Stratified samples some from every homogeneous group; cluster samples all from randomly chosen heterogeneous groups.

DAT-2.C
Systematic Random Sample
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Choose a random starting point, then select every kth individual from the sampling frame.

DAT-2.CDAT-2.C.5
Periodic Interval (k)
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The fixed spacing between selected individuals in a systematic sampling process.

DAT-2.CDAT-2.C.5
Census
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A data collection method that includes every individual in the population.

DAT-2.CDAT-2.C.6
Sampling Frame
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The list of individuals or units from which a sample is actually selected.

DAT-2.C
Advantages and Disadvantages of Sampling Methods
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Each method balances representativeness, cost, efficiency, practicality, and possible bias differently.

DAT-2.DDAT-2.D.1
Stratified Random Sample and Strata
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Divides a population into homogeneous groups, then takes an SRS from each group.

DAT-2.CDAT-2.C.3
Cluster Sample and Clusters
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Divides a population into heterogeneous groups, randomly selects groups, then samples everyone in them.

DAT-2.CDAT-2.C.4