Revision as of 02:30, 9 June 2024 by Bot (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> Test your conclusions in Exercise Exercise by computer simulation. First choose 364 numbers <math>X_i</math> with density <math>f(x) = \mbox {normal}(x,0,1/4)</math>. Now form the sum <math>Y_{365} = 100 + X_1 + X_2 +\c...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
BBy Bot
Jun 09'24

Exercise

[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]

Test your conclusions in Exercise Exercise by computer

simulation. First choose 364 numbers [math]X_i[/math] with density [math]f(x) = \mbox {normal}(x,0,1/4)[/math]. Now form the sum [math]Y_{365} = 100 + X_1 + X_2 +\cdots+ X_{364}[/math], and repeat this experiment 200 times. Make up a bar graph on [math][50,150][/math] of the results, superimposing the graph of the approximating normal density. What does this graph say about your answers in Exercise \ref{exer 9.4.11}?