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**Nonparametric Statistics**,

### What is Nonparametric Statistics?

Non-parametric statistics refer to a statistical process that does not assume that the data comes from a sample determined by a small number of parameters. Examples of these models are the general distribution model and the linear regression model. Non-parametric statistics sometimes use trivial data, meaning that they are not based on numbers but on order of rank. For example, a survey reviewing consumer preferences from love to hate would be considered generic.

- Non-expert data is easy to use, but they do not provide accuracy to other data models.
- This type of analysis is usually best done by looking at the sequence of things that tend to keep the results the same despite changes in the data.

### Literal Meanings of Nonparametric Statistics

#### Nonparametric:

##### Meanings of Nonparametric:

This does not imply any assumptions about the form or parameters of the frequency distribution.

##### Sentences of Nonparametric

Parametric and non-parametric statistical tests were used.

#### Statistics:

##### Meanings of Statistics:

The process or science of collecting and analyzing large amounts of digital data, primarily with the goal of reducing the proportion of representative samples as a whole.

##### Sentences of Statistics

Atkins' mathematical work included statistics, numerical analysis, and algebra.

##### Synonyms of Statistics

facts, figures, statistics, details, specifics, features, particulars