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Fixed MDL-15075. Some mistakes in the help file for category aggregat…
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…ion. Also fixed in 1.9 stable.
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whchuang committed Aug 20, 2008
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8 changes: 4 additions & 4 deletions lang/en_utf8/help/grade/aggregation.html
Expand Up @@ -35,25 +35,25 @@ <h1>Category aggregation</h1>
<dt>Median of grades</dt> <dt>Median of grades</dt>
<dd>The middle grade (or the mean of the two middle grades) when grades are arranged in order of size. The advantage over the mean is that it is not affected by outliers (grades which are uncommonly far from the mean).</dd> <dd>The middle grade (or the mean of the two middle grades) when grades are arranged in order of size. The advantage over the mean is that it is not affected by outliers (grades which are uncommonly far from the mean).</dd>
<dd class="example">A1 70/100, A2 20/80, A3 10/10, category max 100:<br /> <dd class="example">A1 70/100, A2 20/80, A3 10/10, category max 100:<br />
<code>0.7 + 0.25 + 1.0 --> 0.25 --> 25/100</code></dd> <code>median(0.7 ; 0.25 ; 1.0) = 0.7 --> 70/100</code></dd>


<dt>Smallest grade</dt> <dt>Smallest grade</dt>
<dd>The result is the smallest grade after normalisation. It is usually used in combination with <em>Aggregate only non-empty grades</em>.</dd> <dd>The result is the smallest grade after normalisation. It is usually used in combination with <em>Aggregate only non-empty grades</em>.</dd>
<dd class="example">A1 70/100, A2 20/80, A3 10/10, category max 100:<br /> <dd class="example">A1 70/100, A2 20/80, A3 10/10, category max 100:<br />
<code>min(0.7 + 0.25 + 1.0) = 0.25 --> 25/100</code></dd> <code>min(0.7 ; 0.25 ; 1.0) = 0.25 --> 25/100</code></dd>


<dt>Highest grade</dt> <dt>Highest grade</dt>
<dd>The result is the highest grade after normalisation.</dd> <dd>The result is the highest grade after normalisation.</dd>
<dd class="example">A1 70/100, A2 20/80, A3 10/10, category max 100:<br /> <dd class="example">A1 70/100, A2 20/80, A3 10/10, category max 100:<br />
<code>max(0.7 + 0.25 + 1.0) = 1.0 --> 100/100</code></dd> <code>max(0.7 ; 0.25 ; 1.0) = 1.0 --> 100/100</code></dd>


<dt>Mode of grades</dt> <dt>Mode of grades</dt>
<dd>The mode is the grade that occurs the most frequently. It is more often used for non-numerical grades. <dd>The mode is the grade that occurs the most frequently. It is more often used for non-numerical grades.
The advantage over the mean is that it is not affected by outliers (grades which are uncommonly far from the mean). The advantage over the mean is that it is not affected by outliers (grades which are uncommonly far from the mean).
However it loses its meaning once there is more than one most frequently occurring grade (only one is kept), or when all However it loses its meaning once there is more than one most frequently occurring grade (only one is kept), or when all
the grades are different from each other.</dd> the grades are different from each other.</dd>
<dd class="example">A1 70/100, A2 35/50, A3 20/80, A4 10/10, A5 7/10 category max 100:<br /> <dd class="example">A1 70/100, A2 35/50, A3 20/80, A4 10/10, A5 7/10 category max 100:<br />
<code>mode(0.7; 0.7; 0.25; 1.0; 0.7) = 0.7 --> 70/100</code></dd> <code>mode(0.7 ; 0.7 ; 0.25 ; 1.0 ; 0.7) = 0.7 --> 70/100</code></dd>


<dt>Sum of grades</dt> <dt>Sum of grades</dt>
<dd>The sum of all grade values. Scale grades are ignored. This is the only type that does not convert the <dd>The sum of all grade values. Scale grades are ignored. This is the only type that does not convert the
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