exercise:00980bf1cb: 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> Following Galton, let us assume that the fathers and sons have heights that are dependent normal random variables. Assume that the average height is 68 inches, standard deviation is 2.7 inches, and the correlation coefficient is .5 (see Exercises...")
 
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<div class="d-none"><math>
Following Galton, let us assume that the fathers and sons have heights that are dependent normal random variables.  Assume that the average
\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> Following Galton, let us assume that the fathers and sons
have heights that are dependent normal random variables.  Assume that the average
height is 68 inches, standard deviation is 2.7 inches, and the correlation coefficient
height is 68 inches, standard deviation is 2.7 inches, and the correlation coefficient
is .5 (see Exercises [[exercise:Bf1fbb9234 |Exercise]] and [[exercise:Cc5799edfb |Exercise]]).  That is, assume that
is .5 (see Exercises [[exercise:Bf1fbb9234 |Exercise]] and [[exercise:Cc5799edfb |Exercise]]).  That is, assume that
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respectively, where <math>X</math> and <math>Y</math> are correlated standardized normal random variables,
respectively, where <math>X</math> and <math>Y</math> are correlated standardized normal random variables,
with correlation coefficient .5.
with correlation coefficient .5.
<ul><li> What is the expected height for the son of a father whose height is 72 inches?
<ul style="list-style-type:lower-alpha"><li> What is the expected height for the son of a father whose height is 72 inches?
</li>
</li>
<li> Plot a scatter diagram of the heights of 1000 father and son pairs.  '' Hint'': You can choose standardized pairs as in Exercise [[exercise:F25f83f07c |Exercise]] and then
<li> Plot a scatter diagram of the heights of 1000 father and son pairs.  '' Hint'': You can choose standardized pairs as in [[exercise:F25f83f07c |Exercise]] and then
plot <math>(2.7X + 68, 2.7Y + 68)</math>.
plot <math>(2.7X + 68, 2.7Y + 68)</math>.
</li>
</li>
</ul>
</ul>

Latest revision as of 21:50, 14 June 2024

Following Galton, let us assume that the fathers and sons have heights that are dependent normal random variables. Assume that the average height is 68 inches, standard deviation is 2.7 inches, and the correlation coefficient is .5 (see Exercises Exercise and Exercise). That is, assume that the heights of the fathers and sons have the form [math]2.7X + 68[/math] and [math]2.7Y + 68[/math], respectively, where [math]X[/math] and [math]Y[/math] are correlated standardized normal random variables, with correlation coefficient .5.

  • What is the expected height for the son of a father whose height is 72 inches?
  • Plot a scatter diagram of the heights of 1000 father and son pairs. Hint: You can choose standardized pairs as in Exercise and then plot [math](2.7X + 68, 2.7Y + 68)[/math].