normal distribution
https://plus.maths.org/content/taxonomy/term/451
enThe Plus sports page: Deciding who's top
https://plus.maths.org/content/plus-sports-page-deciding-whos-top
<div class="field field-type-filefield field-field-abs-img">
<div class="field-items">
<div class="field-item odd">
<img class="imagefield imagefield-field_abs_img" width="100" height="100" alt="" src="https://plus.maths.org/content/sites/plus.maths.org/files/latestnews/may-aug09/chessumo/icon.jpg?1243897200" /> </div>
</div>
</div>
<div class="field field-type-text field-field-abs-txt">
<div class="field-items">
<div class="field-item odd">
Chess versus sumo </div>
</div>
</div>
<div class="pub_date">02/06/2009</div>
<!-- plusimport --><br clear="all"></a>
<!-- END OF FILE: newinclude/news_header.html -->
<p>At the very heart of sport is a fierce battle in which the combatants strive to outwit and outplay each other. Each thrust is matched by a parry and in the end, there can only be one winner. The rules of each sport dictate how that winner is determined, and, whether it is football, tennis, golf or chess, it is those who perform best on the day who take home the glory.</p><p><a href="https://plus.maths.org/content/plus-sports-page-deciding-whos-top" target="_blank">read more</a></p>https://plus.maths.org/content/plus-sports-page-deciding-whos-top#commentschessmathematics in sportnormal distributionprobability distributionratingMon, 01 Jun 2009 23:00:00 +0000plusadmin2536 at https://plus.maths.org/contentUnderstanding uncertainty: A league table lottery
https://plus.maths.org/content/understanding-uncertainty-league-table-lottery
<div class="field field-type-text field-field-author">
<div class="field-items">
<div class="field-item odd">
David Spiegelhalter and Mike Pearson </div>
</div>
</div>
<div class="field field-type-filefield field-field-abs-img">
<div class="field-items">
<div class="field-item odd">
<img class="imagefield imagefield-field_abs_img" width="100" height="100" alt="" src="https://plus.maths.org/content/sites/plus.maths.org/files/abstractpics/5/June%2016%2C%202010/icon.jpg.png?1276691433" /> </div>
</div>
</div>
<div class="field field-type-text field-field-abs-txt">
<div class="field-items">
<div class="field-item odd">
<p>League tables are controversial and for good reason. Few things are simple enough to be measured by a single outcome like, for example, the number of exam passes or successful heart operations. But even if we do accept a single yardstick, we haven't yet reckoned with chance, which by itself can produce apparent patterns to delight any tabloid editor.</p>
</div>
</div>
</div>
<div class="pub_date">December 2007</div>
<!-- plusimport -->
<script type="text/javascript" src="/include/common/swf/swfobject.js"></script>
<br clear="all" />
<!-- #include virtual="../../include/gifd_here_box.html" -->
<!-- #echo var="risk" -->
<p><i>This is the first instalment of David Spiegelhalter's regular column called Understanding uncertainty.</i></p><p><a href="https://plus.maths.org/content/understanding-uncertainty-league-table-lottery" target="_blank">read more</a></p>https://plus.maths.org/content/understanding-uncertainty-league-table-lottery#comments45CMSeditoriallotterynormal distributionprobabilityprobability distributionrisk analysisstatistical distributionstatistical estimationstatistical predictionstatisticsuncertaintyunderstanding uncertaintySat, 01 Dec 2007 00:00:00 +0000plusadmin5143 at https://plus.maths.org/contentCould maths have caught Shipman?
https://plus.maths.org/content/could-maths-have-caught-shipman
<div class="field field-type-filefield field-field-abs-img">
<div class="field-items">
<div class="field-item odd">
<img class="imagefield imagefield-field_abs_img" width="130" height="130" alt="" src="https://plus.maths.org/content/sites/plus.maths.org/files/issue26/news/shipman/icon.jpg?1059951600" /> </div>
</div>
</div>
<div class="field field-type-text field-field-abs-txt">
<div class="field-items">
<div class="field-item odd">
Harold Shipman could have been detected earlier by monitoring the death rates of his patients. </div>
</div>
</div>
<div class="pub_date">04/08/2003</div>
<!-- plusimport --><br clear="all"></br>
<!-- END OF FILE: newinclude/news_header.html -->
<p>Harold Shipman, a family doctor in Yorkshire, is currently serving a life sentence for murdering 15 of his patients, and is likely to have murdered <a href="http://news.bbc.co.uk/1/hi/health/2139562.stm">over 200 more</a>. How did he manage to kill so many and remain undetected?</p><p><a href="https://plus.maths.org/content/could-maths-have-caught-shipman" target="_blank">read more</a></p>https://plus.maths.org/content/could-maths-have-caught-shipman#commentsnormal distributionquality controlstatistical process controlSun, 03 Aug 2003 23:00:00 +0000plusadmin2715 at https://plus.maths.org/contentModel Trains
https://plus.maths.org/content/model-trains
<div class="field field-type-text field-field-author">
<div class="field-items">
<div class="field-item odd">
Tim Gent </div>
</div>
</div>
<div class="field field-type-filefield field-field-abs-img">
<div class="field-items">
<div class="field-item odd">
<img class="imagefield imagefield-field_abs_img" width="130" height="130" alt="" src="https://plus.maths.org/content/sites/plus.maths.org/files/issue17/features/gent/icon.jpg?975628800" /> </div>
</div>
</div>
<div class="field field-type-text field-field-abs-txt">
<div class="field-items">
<div class="field-item odd">
As customers will tell you, overcrowding is a problem on trains. Fortunately, mathematical modelling techniques can help to analyse the changing demands on services through the day. <strong>Tim Gent</strong> explains. </div>
</div>
</div>
<div class="pub_date">Nov 2001</div>
<!-- plusimport -->
<br clear="all" />
<h2>Going Places with Maths</h2>
<p>If you ask anyone what they dislike about trains, the chances are they will say one of two things: "They're always late" or "They're too crowded". As it happens, both of these problems have been studied using mathematical modelling techniques. This article looks at the latter problem, a topic known as "Peak Load Management". <!-- FILE: include/leftfig.html --></p><p><a href="https://plus.maths.org/content/model-trains" target="_blank">read more</a></p>https://plus.maths.org/content/model-trains#comments17fuzzy logicnormal distributionoperational researchpeak load managementsensitivity analysisFri, 01 Dec 2000 00:00:00 +0000plusadmin2191 at https://plus.maths.org/content