nonparametric statistic Sentence Examples
- Nonparametric statistics offer a powerful tool for analyzing data without assuming a specific distribution.
- The Wilcoxon rank-sum test is a common nonparametric statistic used to compare two independent groups.
- The Kruskal-Wallis test is a nonparametric analogue of ANOVA for comparing multiple independent groups.
- Nonparametric statistics are often used when the sample size is small or the data distribution is highly skewed.
- The Friedman test is a nonparametric statistic used to compare multiple related groups.
- Nonparametric statistics provide a more robust alternative to parametric tests when assumptions about the data distribution are questionable.
- The Mann-Whitney U test is a nonparametric statistic used to test for differences between two independent groups with ordinal data.
- Nonparametric statistics can handle outliers and missing data more effectively than parametric tests.
- The Spearman's rank correlation coefficient is a nonparametric measure of association between two variables.
- Nonparametric statistics have gained widespread use in fields such as psychology, sociology, and environmental science.
nonparametric statistic Meaning
Wordnet
nonparametric statistic (n)
a statistic computed without knowledge of the form or the parameters of the distribution from which observations are drawn
Synonyms & Antonyms of nonparametric statistic
No Synonyms and anytonyms found
FAQs About the word nonparametric statistic
a statistic computed without knowledge of the form or the parameters of the distribution from which observations are drawn
No synonyms found.
No antonyms found.
Nonparametric statistics offer a powerful tool for analyzing data without assuming a specific distribution.
The Wilcoxon rank-sum test is a common nonparametric statistic used to compare two independent groups.
The Kruskal-Wallis test is a nonparametric analogue of ANOVA for comparing multiple independent groups.
Nonparametric statistics are often used when the sample size is small or the data distribution is highly skewed.