NONPARAMETRIC STATISTIC Meaning and
Definition
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A nonparametric statistic is a statistical method that does not make any assumptions about the underlying distribution of the data being analyzed. Unlike parametric statistics, which rely on specific assumptions about the population parameters or the shape of the data, nonparametric statistics provide a flexible and robust alternative for analyzing data that may not meet those assumptions.
In nonparametric statistics, the emphasis is on ranking or ordering the data rather than on the magnitude of the observations themselves. Nonparametric tests are particularly useful when dealing with categorical or ordinal data, or when the sample size is small and the assumption of normality cannot be verified.
Nonparametric statistics include a wide range of techniques, such as rank-based tests, resampling methods, and permutation tests. Examples of commonly used nonparametric tests include the Mann-Whitney U test, Kruskal-Wallis test, Wilcoxon signed-rank test, and the Spearman's rank correlation coefficient. These tests do not require the data to be normally distributed and can be applied to a variety of study designs, including group comparisons, paired observations, and association analyses.
Nonparametric statistics are often preferred in situations where data violates assumptions of parametric tests or when numerical data is transformed into ranks to preserve the order of observations without assuming that the distance between ranks is equal. The flexibility and wide applicability of nonparametric statistics make them valuable tools in various fields, including psychology, economics, biology, and social sciences, enabling researchers to draw meaningful conclusions from diverse data types.
Common Misspellings for NONPARAMETRIC STATISTIC
- bonparametric statistic
- monparametric statistic
- jonparametric statistic
- honparametric statistic
- ninparametric statistic
- nknparametric statistic
- nlnparametric statistic
- npnparametric statistic
- n0nparametric statistic
- n9nparametric statistic
- nobparametric statistic
- nomparametric statistic
- nojparametric statistic
- nohparametric statistic
- nonoarametric statistic
- nonlarametric statistic
- non-arametric statistic
- non0arametric statistic
- nonpzrametric statistic
Etymology of NONPARAMETRIC STATISTIC
The term "nonparametric" in statistics refers to methods or techniques that do not depend on specific assumptions about the underlying population distribution parameters. The term is derived from combining the prefix "non-", which means "not", with the word "parametric", which refers to statistical models or techniques that make assumptions about the population parameters.
The term "statistics" originated from the Latin word "status" meaning "political state" or "census". In the late 18th century, the term began to be used to refer to the analysis and interpretation of data related to states and populations. Over time, it evolved to encompass the broader field of collecting, analyzing, and interpreting data in various disciplines.
Similar spelling word for NONPARAMETRIC STATISTIC
- nonparametric statistics.
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