exercise:F1d1a53fd2: Difference between revisions

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(Created page with "<div class="d-none"><math> \newcommand{\NA}{{\rm NA}} \newcommand{\mat}[1]{{\bf#1}} \newcommand{\exref}[1]{\ref{##1}} \newcommand{\secstoprocess}{\all} \newcommand{\NA}{{\rm NA}} \newcommand{\mathds}{\mathbb}</math></div> Let <math>U</math>, <math>V</math> be random numbers chosen independently from the interval <math>[0,1]</math>. Find the cumulative distribution and density for the random variables <ul><li> <math>Y = \max(U,V)</math>. </li> <li> <math>Y = \min(U...")
 
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<div class="d-none"><math>
Let <math>U</math>, <math>V</math> be random numbers chosen independently from the interval <math>[0,1]</math>.  Find the cumulative distribution and density for the random variables
\newcommand{\NA}{{\rm NA}}
<ul style="list-style-type:lower-alpha"><li> <math>Y = \max(U,V)</math>.
\newcommand{\mat}[1]{{\bf#1}}
\newcommand{\exref}[1]{\ref{##1}}
\newcommand{\secstoprocess}{\all}
\newcommand{\NA}{{\rm NA}}
\newcommand{\mathds}{\mathbb}</math></div> Let <math>U</math>, <math>V</math> be random numbers chosen independently from the
interval
<math>[0,1]</math>.  Find the cumulative distribution and density for the random variables
<ul><li> <math>Y = \max(U,V)</math>.
</li>
</li>
<li> <math>Y = \min(U,V)</math>.
<li> <math>Y = \min(U,V)</math>.
</li>
</li>
</ul>
</ul>

Latest revision as of 01:57, 14 June 2024

Let [math]U[/math], [math]V[/math] be random numbers chosen independently from the interval [math][0,1][/math]. Find the cumulative distribution and density for the random variables

  • [math]Y = \max(U,V)[/math].
  • [math]Y = \min(U,V)[/math].