<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Probability on k4i's blog</title><link>https://k4i.top/zh/tags/probability/</link><description>Recent content in Probability on k4i's blog</description><generator>Hugo -- gohugo.io</generator><language>zh</language><managingEditor>sky_io@outlook.com (K4i)</managingEditor><webMaster>sky_io@outlook.com (K4i)</webMaster><copyright>All content is subject to the license of &lt;a rel="license noopener" href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank"&gt;CC BY-NC-SA 4.0&lt;/a&gt; .</copyright><lastBuildDate>Thu, 02 Jul 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://k4i.top/zh/tags/probability/index.xml" rel="self" type="application/rss+xml"/><item><title>常见概率分布：均值、方差与标准差速查</title><link>https://k4i.top/zh/posts/common-distributions-variance-std/</link><pubDate>Thu, 02 Jul 2026 10:00:00 +0800</pubDate><author>sky_io@outlook.com (K4i)</author><atom:modified>Thu, 02 Jul 2026 10:00:00 +0800</atom:modified><guid>https://k4i.top/zh/posts/common-distributions-variance-std/</guid><description>&lt;p&gt;学概率时，很多分布看起来像一张公式清单：Bernoulli、Binomial、Poisson、Normal、Exponential、Gamma、Beta……如果只背概率质量函数或密度函数，很容易忘记它们各自回答什么问题。&lt;/p&gt;</description><dc:creator>K4i</dc:creator><media:content url="https://k4i.top//images/icons/dice-white.svg" medium="image"><media:title type="html">featured image</media:title></media:content><category>probability</category><category>statistics</category><category>distribution</category><category>variance</category><category>Math</category></item></channel></rss>