How Do You Spell BONEFERRONI TEST?

Pronunciation: [bˌə͡ʊnfɪɹˈə͡ʊni tˈɛst] (IPA)

The Boneferroni test, commonly used in statistical analysis, is spelled as /bɒnəfɛˈroʊni tɛst/. The first syllable is pronounced as "bon," with a short "o" sound. The second syllable is pronounced as "efer," with stress on the second syllable. The third syllable is pronounced as "o," with a long "o" sound. The fourth syllable is pronounced as "ni," with stress on the second syllable. The last word, "test," is pronounced as "test," with stress on the first syllable.

Meaning and Definition
Etymology
Basic Check Advanced Check

BONEFERRONI TEST Meaning and Definition

  1. The Bonferroni test, named after the Italian mathematician Carlo Emilio Bonferroni, is a statistical method used in hypothesis testing to adjust the p-value for multiple comparisons. It is commonly employed when conducting several statistical tests simultaneously or when performing repeated statistical analyses.

    The Bonferroni correction accounts for the increased likelihood of obtaining a false positive result due to multiple comparisons. This correction divides the desired significance level (typically 0.05) by the total number of comparisons being made. In other words, it adjusts the p-value threshold necessary to achieve statistical significance.

    To implement the Bonferroni test, researchers divide the original p-value by the number of comparisons being made. If the adjusted p-value falls below the new threshold, the null hypothesis is rejected, indicating a statistically significant result. This process aims to minimize the likelihood of erroneously rejecting the null hypothesis due to chance.

    The Bonferroni test is commonly used in fields such as genetics, psychology, and clinical trials, where multiple comparisons are often conducted simultaneously. It is a conservative correction method that helps maintain the overall Type I error rate at an acceptable level, but it can reduce the power of the statistical test.

    Overall, the Bonferroni test is a widely used approach to protect against inflated false positive rates when performing multiple statistical tests.

Etymology of BONEFERRONI TEST

The term "Bonferroni test" is named after the Italian mathematician and statistician Carlo Emilio Bonferroni. He introduced the test as a multiple comparison procedure in 1936. The name "Bonferroni" comes from combining his last name with his mother's maiden name. The Bonferroni test is commonly used in statistics to adjust the significance level of multiple comparisons, particularly when conducting hypothesis tests on multiple variables simultaneously, to reduce the chance of making a Type I error.