<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="bg">
	<id>https://wiki.basaga.org/index.php?action=history&amp;feed=atom&amp;title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5</id>
	<title>Показатели за разсейване - Редакционна история</title>
	<link rel="self" type="application/atom+xml" href="https://wiki.basaga.org/index.php?action=history&amp;feed=atom&amp;title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5"/>
	<link rel="alternate" type="text/html" href="https://wiki.basaga.org/index.php?title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5&amp;action=history"/>
	<updated>2026-09-23T09:38:35Z</updated>
	<subtitle>Редакционна история на страницата в уикито</subtitle>
	<generator>MediaWiki 1.35.0</generator>
	<entry>
		<id>https://wiki.basaga.org/index.php?title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5&amp;diff=11669&amp;oldid=prev</id>
		<title>Detelina Staneva в 13:31, 29 януари 2014</title>
		<link rel="alternate" type="text/html" href="https://wiki.basaga.org/index.php?title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5&amp;diff=11669&amp;oldid=prev"/>
		<updated>2014-01-29T13:31:05Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;bg&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← По-стара версия&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Версия от 13:31, 29 януари 2014&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;Ред 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Ред 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;==Показатели за разсейване==&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;Показателите за разсейване&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;''' &lt;/ins&gt;дават &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;количествена характеристика на тенденцията на отклоняване на стойностите от типичното, средното равнище.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt; &lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Показателите за разсейване дават количествена характеристика на тенденцията на отклоняване на стойностите от типичното, средното равнище. &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;За измерване на [[Статистическо разсейване|статистическото разсейване]] най-често се използват показателите [[размах]] (R), [[стандартно отклонение]] (S), [[коефициент на вариация]] (V).&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;==Същност==&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;За измерване на [[Статистическо разсейване|статистическото разсейване]] най-често се използват показателите [[размах]] (R), [[стандартно отклонение]] (S), [[коефициент на вариация]] (V).&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Размахът (R) е най-елементарният измерител на статистическото разсейване. Той представлява разликата между най-голямата и най-малката стойност на променливата величина и носи информация за диапазона, в който варират значенията на признака. Изчислява се по формула:  &lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Размахът (R) е най-елементарният измерител на статистическото разсейване. Той представлява разликата между най-голямата и най-малката стойност на променливата величина и носи информация за диапазона, в който варират значенията на признака. Изчислява се по формула:  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:variacionenanaliz3.png]]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:variacionenanaliz3.png]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Където:&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Където:&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l18&quot; &gt;Ред 18:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Ред 15:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Тъй като в изчисляването на размаха участват само двете крайни стойности на вариационния ред, той е твърде неустойчив измерител на разсейването.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Тъй като в изчисляването на размаха участват само двете крайни стойности на вариационния ред, той е твърде неустойчив измерител на разсейването.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Стандартното отклонение (S) е най-прецизният и често използван показател за разсейване. Неговият смисъл се изразява в това да измери степента на отклонение на стойностите на променливата [[величина]] от средната аритметична. Формулата, която го дефинира е:  &lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Стандартното отклонение (S) е най-прецизният и често използван показател за разсейване. Неговият смисъл се изразява в това да измери степента на отклонение на стойностите на променливата [[величина]] от средната аритметична. Формулата, която го дефинира е:  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:variacionenanaliz4.png]]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:variacionenanaliz4.png]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Където:&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Където:&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l34&quot; &gt;Ред 34:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Ред 29:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:variacionenanaliz5.png]]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:variacionenanaliz5.png]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Където:&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Където:&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Detelina Staneva</name></author>
	</entry>
	<entry>
		<id>https://wiki.basaga.org/index.php?title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5&amp;diff=11668&amp;oldid=prev</id>
		<title>Detelina Staneva: Нова страница: ==Показатели за разсейване==  Показателите за разсейване дават количествена характеристика ...</title>
		<link rel="alternate" type="text/html" href="https://wiki.basaga.org/index.php?title=%D0%9F%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D0%B8_%D0%B7%D0%B0_%D1%80%D0%B0%D0%B7%D1%81%D0%B5%D0%B9%D0%B2%D0%B0%D0%BD%D0%B5&amp;diff=11668&amp;oldid=prev"/>
		<updated>2014-01-29T13:27:22Z</updated>

		<summary type="html">&lt;p&gt;Нова страница: ==Показатели за разсейване==  Показателите за разсейване дават количествена характеристика ...&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Нова страница&lt;/b&gt;&lt;/p&gt;&lt;div&gt;==Показатели за разсейване==&lt;br /&gt;
&lt;br /&gt;
Показателите за разсейване дават количествена характеристика на тенденцията на отклоняване на стойностите от типичното, средното равнище. За измерване на [[Статистическо разсейване|статистическото разсейване]] най-често се използват показателите [[размах]] (R), [[стандартно отклонение]] (S), [[коефициент на вариация]] (V).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Размахът (R) е най-елементарният измерител на статистическото разсейване. Той представлява разликата между най-голямата и най-малката стойност на променливата величина и носи информация за диапазона, в който варират значенията на признака. Изчислява се по формула: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:variacionenanaliz3.png]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Където:&lt;br /&gt;
&lt;br /&gt;
Xmax - най-голямата стойност на променливата &lt;br /&gt;
&lt;br /&gt;
Xmin - най-малката стойност на променливата&lt;br /&gt;
&lt;br /&gt;
Тъй като в изчисляването на размаха участват само двете крайни стойности на вариационния ред, той е твърде неустойчив измерител на разсейването.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Стандартното отклонение (S) е най-прецизният и често използван показател за разсейване. Неговият смисъл се изразява в това да измери степента на отклонение на стойностите на променливата [[величина]] от средната аритметична. Формулата, която го дефинира е: &lt;br /&gt;
&lt;br /&gt;
[[File:variacionenanaliz4.png]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Където:&lt;br /&gt;
&lt;br /&gt;
Xi – всяка една стойност на променливата в извадката&lt;br /&gt;
&lt;br /&gt;
п – обем на извадката&lt;br /&gt;
&lt;br /&gt;
Изброените статистически показатели за разсейване изразяват степента на различията в същата мерна единица, в която е изследваният признак. Това не дава възможност за сравняване на вариацията на признаци, изразени в различни мерни единици, а в случай че са в една и съща мерна единица – относно различно средно равнище. За разрешаване на проблеми от подобно естество в статистиката се използва коефициентът на вариация (V %). Той се изчислява по формула:&lt;br /&gt;
&lt;br /&gt;
[[File:variacionenanaliz5.png]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Където:&lt;br /&gt;
&lt;br /&gt;
S – стандартно отклонение на стойностите&lt;br /&gt;
&lt;br /&gt;
* Коефициентът на вариация (V%) дава информация за разсейването на признака, изразено в проценти, което дава възможност за сравняване на вариацията на различни признаци. Освен това се ползва за оценяване на еднородността на [[извадка]]та: &lt;br /&gt;
* Счита се, че разсейването на признака е малко (извадката е еднородна), когато стойността му е до 10-12%. &lt;br /&gt;
* Между 10 и 30% извадката е приблизително еднородна. &lt;br /&gt;
* Когато е над 30% разсейването на признака е голямо (извадката е силно нееднородна).&lt;br /&gt;
== Вижте още==&lt;br /&gt;
&lt;br /&gt;
*[[Показатели за средно равнище]]&lt;br /&gt;
*[[Нормално разпределение]]&lt;br /&gt;
* [[Задача за решаване]]&lt;br /&gt;
* [[Закон за големите числа]]&lt;br /&gt;
* [[Корелация]]&lt;br /&gt;
* [[Дисперсия]]&lt;br /&gt;
* [[Модел]]&lt;br /&gt;
* [[Променлива]]&lt;br /&gt;
* [[Рационално решение]]&lt;br /&gt;
* [[Следствие]]&lt;br /&gt;
&lt;br /&gt;
==Източници==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Maxwell Roberts (Author), Riccardo Russo (Author) - A Student's Guide to Analysis of Variance &lt;br /&gt;
* Reader J . Rick Turner - Introduction to Analysis of Variance: Design, Analyis &amp;amp; Interpretation&lt;br /&gt;
* Barbara G. Tabachnick - Using Multivariate Statistics (5th Edition)&lt;br /&gt;
* Beverly Dretzke - Statistics with Microsoft Excel (4th Edition)&lt;br /&gt;
* Scott E. Maxwell - Designing Experiments and Analyzing Data: A Model Comparison Perspective, Second Edition &lt;br /&gt;
* Dr. Fred C. Pampel - Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)&lt;br /&gt;
&lt;br /&gt;
==Външни препратки==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [http://webcache.googleusercontent.com/search?q=cache:tiI-4GW3FQEJ:www.kirova.org/STAT%25202.doc+variacionen+analiz&amp;amp;cd=2&amp;amp;hl=bg&amp;amp;ct=clnk&amp;amp;gl=bg Вариационен анализ При групирани данни]&lt;br /&gt;
* [http://www.nsa.bg/download.php?NSAFRONTEND=63cc8de723f4ded100f6388cae95168c&amp;amp;id=113 Вариация]&lt;br /&gt;
* [http://www.broker.bg/content/view/680/29/ Вариация на съвкупност]&lt;br /&gt;
* [http://www.referati.org/postoqnna-uslovna-variaciq-detailen-lm-test/12647/ref Постоянна условна вариация]&lt;br /&gt;
* [http://www.onlinerechnik.com/duma/%D0%B2%D0%B0%D1%80%D0%B8%D0%B0%D1%86%D0%B8%D1%8F Значение на вариация]&lt;br /&gt;
* [http://www.google.bg/url?sa=t&amp;amp;source=web&amp;amp;cd=5&amp;amp;ved=0CDMQFjAE&amp;amp;url=http%3A%2F%2Fmeduniversity-plovdiv.bg%2Ffiles%2Fff%2Fmat_inform%2Ftema_1.ppt&amp;amp;rct=j&amp;amp;q=koeficient%20na%20variaciq&amp;amp;ei=4sQLTZrzDJH6sgbttv3vDA&amp;amp;usg=AFQjCNEAfKceHTNXD-pZ1EuTSlulhB2ong&amp;amp;cad=rja Анализ на вариацията]&lt;br /&gt;
* [http://webcache.googleusercontent.com/search?q=cache:GBE-q5rDHKIJ:meduniversity-plovdiv.bg/files/ff/mat_inform/tema_1.ppt+koeficient+na+variaciq&amp;amp;cd=5&amp;amp;hl=bg&amp;amp;ct=clnk&amp;amp;gl=bg Статистическо оценяване]&lt;br /&gt;
* [http://docs.google.com/viewer?a=v&amp;amp;q=cache:P5Wxn6RqqJIJ:www.kirova.org/STAT%25201.doc+variacionen+analiz&amp;amp;hl=bg&amp;amp;gl=bg&amp;amp;pid=bl&amp;amp;srcid=ADGEESgzDu4ac2OVyc8Wq_U51CxU0aJCNW5UE_iskqHMmwW2DaQZECZ-NOUv4KDO2PxFjxnRinUXVwoQxLT9Op8iLTuiZNSyvxyqvFguOBmYMTRs21_pX2zyvq4sSxNIYqCZElnFRCo9&amp;amp;sig=AHIEtbSM4kL33TyDVaLlFyJuDYVfEw8bHA Вариационен анализ]&lt;br /&gt;
&lt;br /&gt;
[[category:Управленски решения и риск]][[category:Стратегическо управление]][[category:Статистика]]&lt;/div&gt;</summary>
		<author><name>Detelina Staneva</name></author>
	</entry>
</feed>