unbiasedness Antonyms
Strongest:
- impartiality
- nonpartisanship
- equitability
- disinterestedness
- objectivity
- disinterest
- fairness
- rationality
Strong:
Weak:
Meaning of unbiasedness
unbiasedness
free from all prejudice and favoritism, impartial, unprejudiced, having an expected value equal to a population parameter being estimated, free from bias
unbiasedness Sentence Examples
- The unbiasedness of the research study ensures that the results accurately reflect the population without systematic errors.
- To avoid biases, researchers strive to maintain unbiasedness throughout the data collection and analysis process.
- The unbiasedness of the sample group guarantees that all subsets of the population have an equal chance of representation.
- The unbiasedness of the statistical model eliminates systematic errors that could lead to inaccurate predictions.
- Unbiasedness is essential in news reporting to ensure that information is presented fairly and without prejudice.
- The unbiasedness of the judicial system promotes fairness and equality before the law.
- Unbiasedness in recruiting practices ensures that qualified candidates are evaluated solely based on their merits.
- The unbiasedness of online reviews allows consumers to make informed decisions based on genuine opinions.
- The unbiasedness of scientific research provides a solid foundation for advancements in various fields.
- Unbiasedness is a cornerstone of ethical research, ensuring the integrity and trustworthiness of the results.
FAQs About the word unbiasedness
free from all prejudice and favoritism, impartial, unprejudiced, having an expected value equal to a population parameter being estimated, free from bias
impartiality, nonpartisanship, equitability, disinterestedness,objectivity, disinterest, fairness, rationality, reasonability, tranquillity
partiality, prejudice,emotionalism, favor, bias,partisanship,one-sidedness
The unbiasedness of the research study ensures that the results accurately reflect the population without systematic errors.
To avoid biases, researchers strive to maintain unbiasedness throughout the data collection and analysis process.
The unbiasedness of the sample group guarantees that all subsets of the population have an equal chance of representation.
The unbiasedness of the statistical model eliminates systematic errors that could lead to inaccurate predictions.
