Identify a faulty interpretation of data that is due to bias or experimental error SPI 0707.Inq.5
Links verified 5/7/2024
- Bias and Random Error - bias can be large enough to invalidate any conclusions
- Bias and Sources of Error - Learn how scientists identify and minimize bias and sources of error to produce accurate results
- Biased Sample - also known as: Biased Statistics, Loaded Sample, Prejudiced Statistics, Prejudiced Sample, Loaded Statistics, Biased Induction, Biased Generalization (3 good examples at the bottom of the page)
- Practices of Science: Scientific Error - teaching science as inquiry
- Statistics with Crayons - (4:16) a YouTube video about bias and random eror with Hans and Hera
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