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Understanding Biases in Statistical Sampling Methods

Learn about biases in statistical sampling such as underrepresentation and nonresponse, and how methods like convenience and judgment sampling can affect the results. Explore the impact of questionnaire bias on survey outcomes.

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Understanding Biases in Statistical Sampling Methods

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Presentation Transcript

  1. Cautions and Biases AP Stats 10-17

  2. Biased—if some characteristic of the pop. is underrepresented or overrepresented ***Bias is in the method, not the sample • Nonresponse—when an individual chosen for a sample can’t be contacted or does not cooperate

  3. Voluntary response bias—ppl call in—those who care call, those who don’t care don’t call and will be underrepresented • Convenience sample—select only those easy to include (best friends, ppl in 4th period) • Judgment sample—use your judgment (or an expert’s) to choose what you think is a representative sample

  4. Questionnaire bias—results from HOW you ask the questions

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