"Non-partisan" Pronounce,Meaning And Examples
"Non-partisan" Natural Recordings by Native Speakers
"Non-partisan" Meaning
Non-partisan refers to someone or something that is fair, balanced, and neutral, without backing or supporting a particular political party, ideology, or interest group. Non-partisan individuals, organizations, or events aim to provide objective information, facilitate debate, or resolve issues without being influenced by partisan agendas or biases.
"Non-partisan" Examples
Usage Examples of "Non-partisan"
1. Unbiased Journalism
The news network prides itself on its non-partisan reporting, providing factual information without favoring any political party.2. Neutral Government Agency
The independent council is a non-partisan organization, conducting investigations and making recommendations without taking sides or promoting a particular ideology.3. Objectivity in Academic Research
The researcher aimed to present a non-partisan view of the data, avoiding any biases or agendas that might influence the outcome of the study.4. Community Engagement
The non-profit organization hosted a non-partisan town hall meeting, where citizens could share their opinions and concerns without fear of political retribution or manipulation.5. Campaign Finance Reform
The legislation seeks to improve transparency in campaign finance by encouraging non-partisan donations and limiting the influence of special interest groups on political candidates."Non-partisan" Similar Words
Non-muslim
Non-native
Non-naturalistic
Non-negotiable
Non-nutritive
Non-opioid
Non-parametric
The term "non-parametric" in statistics refers to a type of statistical test or analysis that does not require any assumptions about the distribution of the data, unlike parametric tests. Non-parametric tests are often used when the assumption of normality of the data cannot be met or when there is limited prior knowledge about the distribution of the data.<br><br>In essence, non-parametric tests are "distribution-free" and do not rely on a specific statistical distribution (such as the normal distribution) to calculate the results. Instead, they use rankings, counts, or frequencies to draw conclusions about the data, making them more robust and flexible than parametric tests.<br><br>Some examples of non-parametric tests include the Wilcoxon rank-sum test, the Kruskal-Wallis H-test, and the sign test. Non-parametric tests are commonly used in fields such as medicine, social sciences, and psychology, where the distribution of the data may not be well-behaved or is unknown.
Non-pareil
Non-partisanship
Non-perishables
Non-plussed
Non-political
Non-polluting
Non-practitioner
Non-profit
Non-proliferation