Sampling methods can introduce bias, affecting data reliability. Randomly surveying a diverse group of customers improves reliability.
Biased: Sampling methods can introduce bias, affecting the reliability of the data. In the case of surveying only customers who bought groceries for one week, this creates a biased sample as it excludes those who may have different shopping habits.
Reliable: A reliable sample is one that accurately represents the entire population. Randomly surveying a diverse group of 500 customers would yield more reliable results compared to only surveying a specific subset.
Representative: To ensure reliability, samples should be representative of the population being studied to draw accurate conclusions.
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