Definition
Bias
Statistical bias is a systematic influence that pushes data or conclusions toward some outcomes.
Continue from this idea into connected AXIO math.
Picture a tilted scale: the method keeps pushing results one way.
Boundary: A result can differ by chance even when the method is fair; random variation alone is not bias.
What it means
A fair data method should not keep leaning toward the same kind of answer. Bias appears when the way people are chosen, questions are worded, measurements are made, or results are handled gives some outcomes an ongoing advantage. The lean comes from the method, not from random wobble.
Remember it
Picture a tilted scale: the method keeps pushing results one way.
Example
A school asks only children waiting by the bicycle racks how they travel to school. Cyclists are easier to reach there, so the method may overstate cycling. Sampling children from the whole school would reduce this selection bias.
Watch for
A result can differ by chance even when the method is fair; random variation alone is not bias.
Common mix-up
Statistical bias describes a method that systematically leans, not simply a person having an opinion.
Exact meaning
In statistics, bias is a systematic influence in collecting, measuring, analysing, or reporting data that tends to push results away from an accurate representation of the target.