- a slight bulge or greater weight on one side of the ball or bowl.
- the curved course made by such a ball when rolled.
OTHER WORDS FOR bias
Idioms about bias
- in the diagonal direction of the cloth.
- out of line; slanting.
Origin of bias
synonym study for bias
OTHER WORDS FROM biassub·bi·as, nounsu·per·bi·as, noun
Other definitions for bias (2 of 2)
How to use bias in a sentence
Koenig has not been a sterile, objective narrator; she has openly voiced her biases, concerns, and gut feelings all along.Adnan Killed Her! No, Jay Did It! Serial’s Uncertain, True-to-Reality End|Emily Shire|December 18, 2014|DAILY BEAST
Meanwhile advocacy groups like GLAAD help rid our larger culture of hidden biases and bigotry.
Those who are by definition free of the biases that come with living near or working with those entrusted to protect us.
The commissioner—no idea how or whether applicants were screened for racial biases.
Each of us believes what we choose to believe, and facts have become bricks to shore up the fortress of our own biases.
Talk not about religious biases—we have but one reply to make.
It may be that my affection for the one in question biases my judgment in its favor; I cannot say as to that.Life On The Mississippi, Complete|Mark Twain (Samuel Clemens)
Biases that had held one another in check now, temporarily at least, reinforce one another, and constitute a unified attitude.Human Nature and Conduct|John Dewey
The biases which may operate upon him will not be so likely to extend to the representatives of the people in that body.A Compilation of the Messages and Papers of the Presidents|James D. Richardson
Some things enter by way of the imagination, stimulated by emotional preferences and biases.Essays in Experimental Logic|John Dewey
British Dictionary definitions for bias
- a bulge or weight inside one side of a bowl
- the curved course of such a bowl on the green
- an extraneous latent influence on, unrecognized conflated variable in, or selectivity in a sample which influences its distribution and so renders it unable to reflect the desired population parameters
- if T is an estimator of the parameter θ, the expected value of (T–θ)