unbiased

Business

(adjective)

Impartial or without bias or prejudice.

Statistics

(adjective)

impartial or without prejudice

Related Terms

  • census
  • population

Examples of unbiased in the following topics:

  • Using Impartial Language

    • In business writing, it is important to communicate the message using impartial or unbiased language.
    • In business writing, it is important to communicate the message using impartial or unbiased language.
    • Choosing unbiased language avoids offensive language and ensures that the message is effectively communicated.
    • Here are a few examples that illustrate the use of unbiased language:
    • In business writing, it is important to communicate the message using impartial or unbiased language.
  • Variations in Accuracy

    • Make sure all sources of information for your speech are accurate, reliable, unbiased, credible, and current.
    • " You'll want to make sure your sources are reliable, unbiased, and current.
    • To find academic and scholarly sources, asking your local librarian is one of the best ways to validate whether or not a source you have found is reliable, unbiased, and current.
  • Introduction to inference for other estimators

    • We make another important assumption about each point estimate encountered in this section: the estimate is unbiased.
    • A point estimate is unbiased if the sampling distribution of the estimate is centered at the parameter it estimates.
    • That is, an unbiased estimate does not naturally over or underestimate the parameter.
    • The sample mean is an example of an unbiased point estimate, as are each of the examples we introduce in this section.
  • Samples

    • An unbiased (representative) sample is a set of objects chosen from a complete sample using a selection process that does not depend on the properties of the objects.
    • For example, an unbiased sample of Australian men taller than 2 meters might consist of a randomly sampled subset of 1% of Australian males taller than 2 meters.
    • However, one chosen from the electoral register might not be unbiased since, for example, males aged under 18 will not be on the electoral register.
    • In an astronomical context, an unbiased sample might consist of that fraction of a complete sample for which data are available, provided the data availability is not biased by individual source properties.
  • Accounting Methodologies: Amortized Cost, Fair Value, and Equity

    • Fair value, also called fair price, is a concept used in accounting and economics, defined as a rational and unbiased estimate of the potential market price of goods, services, or assets, taking into account such objective factors as:
    • Fair value, defined as a rational and unbiased estimate of the potential market price of a good, service, or asset.
  • Random Samples

    • An unbiased random selection of individuals is important so that in the long run, the sample represents the population.
    • A simple random sample is an unbiased surveying technique.
    • An unbiased random selection of individuals is important so that, in the long run, the sample represents the population.
  • Least-Squares Regression

    • It is considered optimal in the class of linear unbiased estimators when the errors are homoscedastic and serially uncorrelated.
    • Under these conditions, the method of OLS provides minimum-variance, mean-unbiased estimation when the errors have finite variances.
  • Confidence intervals for nearly normal point estimates

    • This same logic generalizes to any unbiased point estimate that is nearly normal.
    • A confidence interval based on an unbiased and nearly normal point estimate is:
  • Policy Adoption

    • When reporting and commentary is unbiased it can provide a forum where debate over various cases for policy adoption takes place.
  • Characteristics of Estimators

    • Scale 2, by contrast, gives unbiased estimates of your weight.
    • Therefore the sample mean is an unbiased estimate of μ.
    • If N is used in the formula for s2, then the estimates tend to be too low and therefore biased.The formula with N-1 in the denominator gives an unbiased estimate of the population variance.Note that N-1 is the degrees of freedom.
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