Imported Upstream version 1.72.0

[platform/upstream/boost.git] / libs / math / doc / html / math_toolkit / stat_tut / weg / st_eg / tut_mean_intervals.html

diff --git a/libs/math/doc/html/math_toolkit/stat_tut/weg/st_eg/tut_mean_intervals.html b/libs/math/doc/html/math_toolkit/stat_tut/weg/st_eg/tut_mean_intervals.html
index 41dcd20..555cd75 100644 (file)
--- a/libs/math/doc/html/math_toolkit/stat_tut/weg/st_eg/tut_mean_intervals.html
+++ b/libs/math/doc/html/math_toolkit/stat_tut/weg/st_eg/tut_mean_intervals.html
@@ -4,7 +4,7 @@
 <title>Calculating confidence intervals on the mean with the Students-t distribution</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="home" href="../../../../index.html" title="Math Toolkit 2.11.0">
 <link rel="up" href="../st_eg.html" title="Student's t Distribution Examples">
 <link rel="prev" href="../st_eg.html" title="Student's t Distribution Examples">
 <link rel="next" href="tut_mean_test.html" title='Testing a sample mean for difference from a "true" mean'>
@@ -39,9 +39,10 @@
 <p>
             The formula for the interval can be expressed as:
           </p>
-<p>
-            <span class="inlinemediaobject"><img src="../../../../../equations/dist_tutorial4.svg"></span>
-          </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+              <span class="inlinemediaobject"><img src="../../../../../equations/dist_tutorial4.svg"></span>
+
+            </p></blockquote></div>
 <p>
             Where, <span class="emphasis"><em>Y<sub>s</sub></em></span> is the sample mean, <span class="emphasis"><em>s</em></span>
             is the sample standard deviation, <span class="emphasis"><em>N</em></span> is the sample
@@ -56,7 +57,7 @@
 </tr>
 <tr><td align="left" valign="top">
 <p>
-              The quantity &#945; &#160; is the maximum acceptable risk of falsely rejecting the
+              The quantity &#945; is the maximum acceptable risk of falsely rejecting the
               null-hypothesis. The smaller the value of &#945; the greater the strength
               of the test.
             </p>