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          <p style="color: #0000ff; font-size: 18px; font-weight: bold;">Matrix of Random Component Values Having a Normal Distribution (for given number of rows &amp; cols, plus nominal value and tolerance)</p>
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            <p>Function that returns random maxtrix (rows, cols, centre, tol) with a normal probability distributon</p>
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</raw>
      </picture>
    </region>
    <region left="0" top="252" width="245" height="336" color="#000000" fontSize="7">
      <math decimalPlaces="4" exponentialThreshold="10">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>Random output matrix with a normal probability distribution</p>
          </content>
        </description>
        <input>
          <e type="operand">OP</e>
          <e type="operand">1000</e>
          <e type="operand">1</e>
          <e type="operand">10</e>
          <e type="operand" style="unit">kΩ</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operand" style="unit">%</e>
          <e type="operator" args="2">*</e>
          <e type="function" args="4">rmat</e>
          <e type="operator" args="2">:</e>
        </input>
        <contract>
          <e type="operand" style="unit">kΩ</e>
        </contract>
        <result action="numeric">
          <e type="operand">10.0308</e>
          <e type="operand">9.9644</e>
          <e type="operand">10.0022</e>
          <e type="operand">9.9662</e>
          <e type="operand">10.0355</e>
          <e type="operand">9.9626</e>
          <e type="operand">9.9303</e>
          <e type="operand">9.9975</e>
          <e type="operand">9.9903</e>
          <e type="operand">10.0015</e>
          <e type="operand">10.0112</e>
          <e type="operand">10.0012</e>
          <e type="operand">10.0252</e>
          <e type="operand">10.0047</e>
          <e type="operand">9.9988</e>
          <e type="operand">9.9609</e>
          <e type="operand">10.0075</e>
          <e type="operand">9.968</e>
          <e type="operand">10.0045</e>
          <e type="operand">9.9637</e>
          <e type="operand">10.0344</e>
          <e type="operand">10.0489</e>
          <e type="operand">10.0229</e>
          <e type="operand">9.9344</e>
          <e type="operand">10.0847</e>
          <e type="operand">25</e>
          <e type="operand">1</e>
          <e type="function" args="27">mat</e>
        </result>
      </math>
    </region>
    <region left="468" top="306" width="164" height="25" color="#000000" fontSize="7">
      <math decimalPlaces="4" exponentialThreshold="10">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>Calculated Mean value of OP</p>
          </content>
        </description>
        <input>
          <e type="operand">Mean.OP</e>
          <e type="operand">OP</e>
          <e type="function" args="1">Mean</e>
          <e type="operator" args="2">:</e>
        </input>
        <contract>
          <e type="operand" style="unit">kΩ</e>
        </contract>
        <result action="numeric">
          <e type="operand">9.9976</e>
        </result>
      </math>
    </region>
    <region left="468" top="369" width="180" height="33" color="#000000" fontSize="7">
      <math decimalPlaces="4" exponentialThreshold="10">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>Calculated tolerance of OP (ie via 3xδ)</p>
          </content>
        </description>
        <input>
          <e type="operand">Tol.OP</e>
          <e type="operand">3</e>
          <e type="operand">OP</e>
          <e type="function" args="1">StdDev</e>
          <e type="operator" args="2">*</e>
          <e type="operand">10</e>
          <e type="operand" style="unit">kΩ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="2">:</e>
        </input>
        <contract>
          <e type="operand" style="unit">%</e>
        </contract>
        <result action="numeric">
          <e type="operand">0.9819</e>
        </result>
      </math>
    </region>
    <region left="468" top="441" width="196" height="33" color="#000000" fontSize="7">
      <math decimalPlaces="4" exponentialThreshold="10">
        <description active="true" position="Top" lang="eng" width="320">
          <content>
            <p>Minimum value of OP matrix (note: ~1 in 1k  will be outside the tolerance)</p>
          </content>
        </description>
        <input>
          <e type="operand">Min.OP</e>
          <e type="operand">OP</e>
          <e type="function" args="1">min</e>
          <e type="operand">10</e>
          <e type="operand" style="unit">kΩ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operand">10</e>
          <e type="operand" style="unit">kΩ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="2">:</e>
        </input>
        <contract>
          <e type="operand" style="unit">%</e>
        </contract>
        <result action="numeric">
          <e type="operand">0.9724</e>
          <e type="operator" args="1">-</e>
        </result>
      </math>
    </region>
    <region left="468" top="522" width="187" height="33" color="#000000" fontSize="7">
      <math decimalPlaces="4" exponentialThreshold="10">
        <description active="true" position="Top" lang="eng" width="318">
          <content>
            <p>Maximum value of OP matrix (note: ~1 in 1k  will exceed the tolerance)</p>
          </content>
        </description>
        <input>
          <e type="operand">Max.OP</e>
          <e type="operand">OP</e>
          <e type="function" args="1">max</e>
          <e type="operand">10</e>
          <e type="operand" style="unit">kΩ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operand">10</e>
          <e type="operand" style="unit">kΩ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="2">:</e>
        </input>
        <contract>
          <e type="operand" style="unit">%</e>
        </contract>
        <result action="numeric">
          <e type="operand">0.9765</e>
        </result>
      </math>
    </region>
  </regions>
  <regions type="footer">
    <region left="0" top="0" width="183" height="19" color="#000000" fontSize="7">
      <math decimalPlaces="4" exponentialThreshold="10">
        <input>
          <e type="operand">\[FILENAME]\</e>
        </input>
      </math>
    </region>
  </regions>
</worksheet>