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Market Research

Sampling

  • 3 things to know
  • Unit AS 2

Overview

Random sampling, quota sampling and stratified sampling.

What you need to know

Answer each one before you reveal it.

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Key term

What are random, quota and stratified sampling, and what does the random method need that is hard to obtain?

Key term

What is random sampling?

Key term

Define quota sampling.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is random sampling?

    Model answer

    A method where every member of the population has an equal chance of being selected for the sample.

  2. 2

    Define quota sampling.

    Model answer

    A sampling method that involves selecting a specified number of respondents from particular categories or segments of the population.

  3. 3

    What is stratified sampling?

    Model answer

    A method that divides the population into distinct subgroups or strata based on shared characteristics, then samples proportionally from each stratum.

  4. 4

    How does cluster sampling work?

    Model answer

    It divides the population into clusters based on geographical areas or natural groupings, then randomly selects entire clusters to survey.

  5. 5

    What is the main advantage of random sampling in terms of bias?

    Model answer

    It eliminates selection bias because every member has an equal chance of being selected.

  6. 6

    What does random sampling require that can be difficult to obtain?

    Model answer

    A complete sampling frame of the entire population.

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