Include current .formatter.exs and apply

This will make things easier as I addjust stuff without requiring a lot
of manual adjustment.

The repo seems to be largely in line with the 1.6 settings anyway

Author: mwmiller

.formatter.exs

@@ -0,0 +1,4 @@
+# Used by "mix format"
+[
+  inputs: ["mix.exs", "{config,lib,test}/**/*.{ex,exs}"]
+]

lib/statistics/distributions/hypergeometric.ex

@@ -33,7 +33,7 @@ defmodule Statistics.Distributions.Hypergeometric do
 
         true ->
           xk = Math.to_int(k)
-          Math.combination(pk, xk) * Math.combination(pn-pk, n-xk) / Math.combination(pn, n)
+          Math.combination(pk, xk) * Math.combination(pn - pk, n - xk) / Math.combination(pn, n)
       end
     end
   end

mix.exs

@@ -4,12 +4,14 @@ defmodule Statistics.Mixfile do
   @version "0.6.1"
 
   def project do
-    [ app: :statistics,
+    [
+      app: :statistics,
       version: @version,
       elixir: ">= 1.5.0",
       description: description(),
       package: package(),
-      deps: deps() ]
+      deps: deps()
+    ]
   end
 
   def application do
@@ -36,5 +38,4 @@ defmodule Statistics.Mixfile do
       links: %{"GitHub" => "https://github.com/msharp/elixir-statistics"}
     ]
   end
-
 end

test/exponential_distribution_test.exs

@@ -38,8 +38,8 @@ defmodule ExponentialDistributionTest do
   test "generating many random variates gives roughly the expected mean" do
     n = 100_000
     lambda = 0.002
-    expected_mean = 1/lambda
-    sample_mean = Enum.sum(Enum.map(1..n, fn _ -> Exponential.rand(lambda) end))/n
+    expected_mean = 1 / lambda
+    sample_mean = Enum.sum(Enum.map(1..n, fn _ -> Exponential.rand(lambda) end)) / n
 
     assert 0.95 * expected_mean <= sample_mean
     assert sample_mean <= 1.05 * expected_mean

test/hypergeometric_distribution_test.exs

@@ -36,4 +36,4 @@ defmodule HypergeometricDistributionTest do
     # cannot be less than zero
     assert r >= 0
   end
-end
+end