Words nearby biased
OTHER WORDS FROM biasedbi·ased·ly, adverbnon·bi·ased, adjective
Definition for biased (2 of 2)
- a slight bulge or greater weight on one side of the ball or bowl.
- the curved course made by such a ball when rolled.
verb (used with object), bi·ased, bi·as·ing or (especially British) bi·assed, bi·as·sing.
Origin of bias
SYNONYMS FOR bias
OTHER WORDS FROM biassub·bi·as, nounsu·per·bi·as, noun
synonym study for bias
Examples from the Web for biased
If the doctor is biased, he may still classify it as a disorder that can lead to legal repercussions.Coming Out Kinky to Your Doctor, in Black and Blue|Heather Boerner|October 25, 2014|DAILY BEAST
In doing so, Gretchen Hamel, a spokesperson for the Ernst campaign, said that the paper was biased.Did Joni Ernst’s Des Moines Register Diss Just Destroy Her ‘Iowa-Nice’?|Ben Jacobs|October 25, 2014|DAILY BEAST
The First Amendment is also biased against religion in an unexpected way.
The Constitution is “biased” in two distinctive, important ways.
Both borders are patrolled by UN peacekeepers, missions that all parties disparage as weak and biased.
Symbols C and D are interchangeably used to indicate a biased ringer.Cyclopedia of Telephony & Telegraphy Vol. 1|Kempster Miller
And even then such opinions would be biased by personal understanding of the man, and so would be of but small account.The Twins of Suffering Creek|Ridgwell Cullum
It is by comparing these tampered and biased sources that people reach their own conclusions within their private medium.After the Rain|Sam Vaknin
They are often deluded by teachers who are biased by pecuniary necessity.Great Singers on the Art of Singing|James Francis Cooke
Some persons, biased by the strictness of mathematical proof, insist upon the same accuracy in moral investigations.A Logic Of Facts|George Jacob Holyoake
British Dictionary definitions for biased
- 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)