<title>Generic operations common to all distributions are non-member functions</title>
<link rel="stylesheet" href="../../../math.css" type="text/css">
<meta name="generator" content="DocBook XSL Stylesheets V1.79.1">
-<link rel="home" href="../../../index.html" title="Math Toolkit 2.10.0">
-<link rel="up" href="../overview.html" title="Overview of Distributions">
+<link rel="home" href="../../../index.html" title="Math Toolkit 2.11.0">
+<link rel="up" href="../overview.html" title="Overview of Statistical Distributions">
<link rel="prev" href="objects.html" title="Distributions are Objects">
<link rel="next" href="complements.html" title="Complements are supported too - and when to use them">
</head>
</p>
<p>
For example, the binomial distribution probability distribution function
- (PDF) is written as <span class="emphasis"><em>f(k| n, p)</em></span> = Pr(K = k|n, p)
- = probability of observing k successes out of n trials. K is the <a href="http://en.wikipedia.org/wiki/Random_variable" target="_top">random variable</a>,
- k is the <a href="http://en.wikipedia.org/wiki/Random_variate" target="_top">random
+ (PDF) is written as <span class="serif_italic"><span class="emphasis"><em>f(k| n, p)</em></span>
+ = Pr(K = k|n, p) = </span> probability of observing k successes out
+ of n trials. K is the <a href="http://en.wikipedia.org/wiki/Random_variable" target="_top">random
+ variable</a>, k is the <a href="http://en.wikipedia.org/wiki/Random_variate" target="_top">random
variate</a>, the parameters are n (trials) and p (probability).
</p>
</td></tr>