<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Redw on Sulprobil</title>
    <link>https://www.sulprobil.de/tags/redw/</link>
    <description>Recent content in Redw on Sulprobil</description>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Tue, 07 Jul 2026 17:04:00 +0100</lastBuildDate>
    <atom:link href="https://www.sulprobil.de/tags/redw/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Random Numbers with Equidistant Weights (VBA)</title>
      <link>https://www.sulprobil.de/redw_en/</link>
      <pubDate>Tue, 07 Jul 2026 17:04:00 +0100</pubDate>
      <guid>https://www.sulprobil.de/redw_en/</guid>
      <description>&lt;h2 id=&#34;abstract&#34;&gt;Abstract&lt;/h2&gt;&#xA;&lt;p&gt;Suppose you want to simulate teachers who judge pupils.&#xA;Some teachers do not dare to give extreme grades (assume they give grade 1 for 2% of all cases,&#xA;grade 2 for 8%, grade 3 for 80%, grade 4 for 8% and grade 5 for 2%).&#xA;The next teacher is too critical, his distribution is 40%, 30%, 20%, 10% and 0% for grades 1 till 5.&#xA;Another one only gives grade 4 (60%) and grade 5 (40%).&#xA;A last one finally offers sort of a “fair” normal distribution (10%, 20%, 40%, 20%, 10%).&#xA;How do you produce these random numbers which are distributed as mentioned above?&#xA;Take the following procedure redw() which creates random numbers with equidistant weights.&#xA;This function would be called with&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
