GCSE Biology (AQA)

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Principles of Sampling Data

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Organisation Animal Tissues, Organs and Organ Systems

Principles of Sampling Data

3:20 Disease, Risk Factors and Sampling
Spec 4.2.2.5
Previous Incidence of Disease Next Risk Factors
  • Scientists study disease incidents using samples from medical records and research.
  • A sample is a smaller, manageable version of a larger group, representing a whole population.
  • Samples are used because it's impractical to study the entire human population.
  • It's crucial for samples to be representative and unbiased towards any group.
  • A bad sample is biased and may ignore certain groups within the population.
  • To avoid bias, samples must include all groups within the population.
  • Random sampling ensures each population member has an equal chance of selection, avoiding bias.
  • Random numbers for sampling can be generated using tools like calculators or computer programs.
  • Studies using samples should consider population differences such as age, sex, and lifestyle, which can complicate research outcomes.

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