What is bias in data collection and how can it affect the results of a study?

Bias in data collection occurs when certain factors systematically influence the results, leading to inaccurate and misleading conclusions. In the context of math, data bias can affect statistical analysis, leading to incorrect interpretations and skewed findings. For example, if survey questions are phrased in a way that prompts specific responses, the data will reflect that bias. In a school setting, teachers must teach students to recognize and mitigate bias in data collection to ensure accurate and reliable results in their mathematical studies.