# Statistics¶

## Order statistics¶

 `mars.tensor.amin` Return the minimum of a tensor or minimum along an axis. `mars.tensor.amax` Return the maximum of an array or maximum along an axis. `mars.tensor.nanmin` Return minimum of a tensor or minimum along an axis, ignoring any NaNs. `mars.tensor.nanmax` Return the maximum of an array or maximum along an axis, ignoring any NaNs. `mars.tensor.ptp` Range of values (maximum - minimum) along an axis.

## Average and variances¶

 `mars.tensor.average` Compute the weighted average along the specified axis. `mars.tensor.mean` Compute the arithmetic mean along the specified axis. `mars.tensor.std` Compute the standard deviation along the specified axis. `mars.tensor.var` Compute the variance along the specified axis. `mars.tensor.nanmean` Compute the arithmetic mean along the specified axis, ignoring NaNs. `mars.tensor.nanstd` Compute the standard deviation along the specified axis, while ignoring NaNs. `mars.tensor.nanvar` Compute the variance along the specified axis, while ignoring NaNs.

## Correlating¶

 `mars.tensor.corrcoef` Return Pearson product-moment correlation coefficients. `mars.tensor.cov` Estimate a covariance matrix, given data and weights.

## Histograms¶

 `mars.tensor.histogram` Compute the histogram of a set of data. `mars.tensor.histogram_bin_edges` Function to calculate only the edges of the bins used by the histogram function. `mars.tensor.digitize` Return the indices of the bins to which each value in input tensor belongs.

## Statistical tests¶

 `mars.tensor.stats.chisquare` Calculate a one-way chi-square test. `mars.tensor.stats.ks_1samp` Performs the one-sample Kolmogorov-Smirnov test for goodness of fit. `mars.tensor.stats.ks_2samp` Compute the Kolmogorov-Smirnov statistic on 2 samples. `mars.tensor.stats.power_divergence` Cressie-Read power divergence statistic and goodness of fit test. `mars.tensor.stats.ttest_1samp` Calculate the T-test for the mean of ONE group of scores. `mars.tensor.stats.ttest_ind` Calculate the T-test for the means of two independent samples of scores. `mars.tensor.stats.ttest_ind_from_stats` T-test for means of two independent samples from descriptive statistics. `mars.tensor.stats.ttest_rel` Calculate the t-test on TWO RELATED samples of scores, a and b.