# Documentation

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# Descriptive Statistics

Range, central tendency, standard deviation, variance, correlation

## Functions

 `min` Smallest elements in array `mink` Find k smallest elements of array `max` Largest elements in array `maxk` Find k largest elements of array `bounds` Smallest and largest elements `mean` Average or mean value of array `median` Median value of array `mode` Most frequent values in array `std` Standard deviation `var` Variance `corrcoef` Correlation coefficients `cov` Covariance
 `cummax` Cumulative maximum `cummin` Cumulative minimum
 `movmad` Moving median absolute deviation `movmax` Moving maximum `movmean` Moving mean `movmedian` Moving median `movmin` Moving minimum `movprod` Moving product `movstd` Moving standard deviation `movsum` Moving sum `movvar` Moving variance

## Topics

Descriptive Statistics

Analyze data with basic statistics.

Inconsistent Data

Identify outliers within data sets.

Linear Correlation

Covariance and correlation coefficients help to describe the linear relationship between variables.

Linear Regression

Least squares fitting is a common type of linear regression that is useful for modeling relationships within data.

Interactive Fitting

The Basic Fitting UI is an interactive data modeling tool.

Programmatic Fitting

There are many functions in MATLAB® that are useful for data fitting.

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