in accordance with standards or requirements; proper or right: just proportions. (especially in Biblical use) righteous. actual, real, or genuine.

intransitive verb. : to function imperfectly or badly : fail to operate normally. malfunction. noun.

mal- a combining form meaning “bad,” “wrongful,” “ill,” occurring originally in loanwords from French (malapert); on this model, used in the formation of other words (malfunction; malcontent).

and directly from Latin iustus “upright, righteous, equitable; in accordance with law, lawful; true, proper; perfect, complete” (source also of Spanish and Portuguese justo, Italian giusto), from ius “a right,” especially “legal right, law” (see jurist; from Latin ius also come English jury (n.), injury, etc.).

“Just” refers to an action justified under the circumstances. “Fair” refers to an action that treats people as they deserve to be treated.

Fairness & Justice God is not fair, but he is just. His judgments are right and good and true. A God whose primary description is “fair” would be devoid of grace or mercy or compassion. Instead, the guilty would immediately receive the punishment for their sin.

God is the Almighty One, the Lord God, El-Shaddai, the All-Sufficient One. He is everything. He is only limited, because we limit Him in our thinking. The first step to freeing ourselves from “faith” in our own limitations is to take a bigger look at God.

When we describe a person, a rule, or a war as just, we mean that whatever has been done has been done for good reasons, and is fair to all sides.

adj not in accordance with accepted standards of fairness or justice; unfair.

Biblical Healing Model A just man is one who has been set right (justified) in his relationship with God. A right relationship with God can only be established with a correct understanding of His character and an acceptance and reflection of that in our own lives.

adjective. not biased or prejudiced; fair; impartial.

Some common synonyms of unbiased are dispassionate, equitable, fair, impartial, just, and objective.

able to judge fairly because you are not influenced by your own opinions: unbiased advice.

How to Write an Argumentative Essay and Remain Unbiased

1. Start at the Source.
2. Be Objective.
3. Rely on Logic.
4. Choose Your Words Wisely.
5. Avoid Sweeping Generalizations.
6. Maintain Third-Person Voice.
7. Avoid Emotional Pleas.

To be unbiased, you have to be 100% fair — you can’t have a favorite, or opinions that would color your judgment. For example, to make things as unbiased as possible, judges of an art contest didn’t see the artists’ names or the names of their schools and hometowns.

If an overestimate or underestimate does happen, the mean of the difference is called a “bias.” In more mathematical terms, an estimator is unbiased if: That’s just saying if the estimator (i.e. the sample mean) equals the parameter (i.e. the population mean), then it’s an unbiased estimator.

A sample drawn and recorded by a method which is free from bias. This implies not only freedom from bias in the method of selection, e.g. random sampling, but freedom from any bias of procedure, e.g. wrong definition, non-response, design of questions, interviewer bias, etc.

Bias means that a person prefers an idea and possibly does not give equal chance to a different idea. For example, an article biased toward riding a motorcycle would show facts about the good gas mileage, fun, and agility.

The sample mean, on the other hand, is an unbiased estimator of the population mean μ. , and this is an unbiased estimator of the population variance.

Unbiased Estimator

1. Draw one random sample; compute the value of S based on that sample.
2. Draw another random sample of the same size, independently of the first one; compute the value of S based on this sample.
3. Repeat the step above as many times as you can.
4. You will now have lots of observed values of S.

The sample proportion, P is an unbiased estimator of the population proportion, . Unbiased estimators determines the tendency , on the average, for the statistics to assume values closed to the parameter of interest.

Calculate bias by finding the difference between an estimate and the actual value. Dividing by the number of estimates gives the bias of the method. In statistics, there may be many estimates to find a single value. Bias is the difference between the mean of these estimates and the actual value.

A forecast bias occurs when there are consistent differences between actual outcomes and previously generated forecasts of those quantities; that is: forecasts may have a general tendency to be too high or too low. A normal property of a good forecast is that it is not biased.

Bias is a systematic error that leads to an incorrect estimate of effect or association. Many factors can bias the results of a study such that they cancel out, reduce or amplify a real effect you are trying to describe.

and error can refer more generally to the conditional distribution of the response variables given the predictors. Bias refers to the difference between the true or correct value of some quantity and a measurement or estimate of that quantity.

One way to reduce coverage error is to rely on multiple sources to either build a sample frame or to solicit information. This is called a mixed-mode approach.