https://isangfeng.github.io/tags/statistics/Recent content in Statistics on 桑峰Hugo -- gohugo.iozh-cn© 2026 桑峰Mon, 25 Sep 2023 00:00:00 +0000https://isangfeng.github.io/posts/2023/09/20230925_weeklynotes/Mon, 25 Sep 2023 00:00:00 +0000https://isangfeng.github.io/posts/2023/09/20230925_weeklynotes/<h2 class="relative group">单样本设计 <div id="单样本设计" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e5%8d%95%e6%a0%b7%e6%9c%ac%e8%ae%be%e8%ae%a1" aria-label="锚点">#</a> </span> </h2> <h3 class="relative group">单样本的z检验 <div id="单样本的z检验" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e5%8d%95%e6%a0%b7%e6%9c%ac%e7%9a%84z%e6%a3%80%e9%aa%8c" aria-label="锚点">#</a> </span> </h3> <p>统计量计算公式：\(z_{obt}=\frac{\overline{X}_{obt}-\mu}{\sigma/\sqrt{N}}\).</p>https://isangfeng.github.io/posts/2023/08/20230810_statisnotes/Thu, 10 Aug 2023 00:00:00 +0000https://isangfeng.github.io/posts/2023/08/20230810_statisnotes/<p>拒绝零假设不意味着我们了解总体均数之间的差异大小，因为即使一个很小的差异，在足够大的样本量下，依旧可以得到显著的结果。总体均数间的差异大小可以通过构建均数的置信区间或者计算效应量来评估。</p>