Github user sachingoel0101 commented on a diff in the pull request:
https://github.com/apache/flink/pull/861#discussion_r37527257
--- Diff: docs/libs/ml/statistics.md ---
@@ -0,0 +1,69 @@
+---
+mathjax: include
+htmlTitle: FlinkML - Statistics
+title: <a href="../ml">FlinkML</a> - Statistics
+---
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements. See the NOTICE file
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+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
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+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
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+KIND, either express or implied. See the License for the
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+-->
+
+* This will be replaced by the TOC
+{:toc}
+
+## Description
+
+ The statistics utility provides features such as building histograms over
data.
+
+## Methods
+
+ The Statistics utility provides two major functions: `createHistogram` and
+ `createDiscreteHistogram`.
+
+### Creating a histogram
+
+ There are two types of histograms:
+ 1. **Continuous Histograms**: These histograms are formed on a data set
`X: DataSet[Double]`
+ when the values in `X` are from a continuous range. These histograms
support
+ `quantile` and `sum` operations. Here `quantile(q)` refers to a value
$x_q$ such that $|x: x
+ \leq x_q| = q * |X|$. Further, `sum(s)` refers to the number of
elements $x \leq s$, which can
+ be construed as a cumulative probability value at $s$[Of course,
*scaled* probability].
--- End diff --
This is to draw an analogy between the `sum` and a probability distribution
over the elements of `X`. The value `sum(s)` represents the number of elements
in `X` which are less than `s`, which is in effect a scaled cumulative
probability value at `s`.
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