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          <p style="word-spacing: 0; margin-left: 0; margin-top: 0; margin-bottom: 0"><b><font color="#A97CFC" face="Verdana" size="5">Six Sigma
          On-Line/Web
          CBT Training</font></b><font
        face="Verdana, Arial, Helvetica, sans-serif" size="2" color="#4A4A4A"><b><br>
                <br>
          </b>
              </font><font size="2"><font face="Verdana, Arial, Helvetica, sans-serif" color="#333333">
          Contact us at <a href="mailto:qi2@qualityi2.com">qi2@qualityi2.com</a>
        to get a free sample demo(s) and a complete outline of our </font><b><font face="Verdana, Arial, Helvetica, sans-serif" size="2">computer-based training</font></b>  <font face="Verdana, Arial, Helvetica, sans-serif" size="2" color="#333333">  (CBT) course. It contains 4 modules, one for each
        training week of the complete, classroom-based Black Belt workshop.&nbsp; It also contains
        optional modules (at no additional cost) in confidence intervals, team
        building, attributes inspection capability studies, and non-traditional
          SPC charts.&nbsp; Embedded are complete stand-alone courses in Process
          FMEA, DOE, and SPC. Optional end-of-module exams, which we grade, are included
          in case you would like to get Six Sigma Black or Green Belt Certification. The course includes numerous
          exercises.&nbsp; It also includes all applicable Minitab statistical
          software menu commands throughout the course.&nbsp; Note that Minitab
          provides a fully functional, downloadable statistical software demo available at their
          website (www.minitab.com) for free.</font></font></p>
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        <td valign="top" height="16" width="660"><div align="justify"><br>
            <b><font face="Verdana, Arial, Helvetica, sans-serif" color="#808080" size="5">Six
            Sigma CBT Course Outline</font></b></div></td>
      </tr>
    </table>
    <table width="713" border="0" cellspacing="0" cellpadding="0" height="1">
      <tr>
        <td width="29" height="261" rowspan="2"></td>
        <td width="308" valign="top" height="261" rowspan="2"><p><br>
          <font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000"><b>The
          Environment for Six Sigma Projects --<br>
          &nbsp;Setting the Stage<br>
          <br>
          </b></font><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><span class="style4">The
          Hidden Factory<br>
          The Quality Lever<br>
          The Demanding Nature of Customers<br>
          The Nature of Process Variation</span></font></p>
          <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000"><b>The
          DMAIC Process<br>
          <br>
          </b></font><span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2">Six Sigma Project Selection<br>
          The Process, Phases, and Steps of DMAIC<br>
          DMAIC Steps 1 and 2&nbsp;</font></span></p>
          <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000"><b>The
          Voice of the Customer<br>
          <br>
          </b></font><span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2">Overview of the phases of Quality Function<br>
          &nbsp;Deployment (QFD)<br>
          QFD's Phase 0 -- The Voice of the Customer<br>
          Using the QFD matrix to translate CCRs into<br>
          &nbsp;CTQs</font></span></p>
          <p><b><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000">Basic Tools of DMAIC Phases I and II</font><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><br>
        <br>
          </font></b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><font color="#000000">SIPOC</font><span class="style4"><br>
          Team Charter<br>
          Sampling<br>
          Checksheets</span></font><b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><br>
          </font><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000"><br>
          Team Building Module (Optional)</font></b><p><b><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000">Descriptive Statistics</font><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><br>
        <br>
        </font></b><span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2">Charting Data Over Time<br>
        Summary Data Patterns and Histograms<br>
        Measures of Central Tendency and<br>
          &nbsp;Dispersion<br>
        The Normal Distribution Curve<br>
          Process Control vs. Capability<br>
          Boxplots<br>
        Point and Interval Estimates<br>
        Confidence Intervals, w/ Decision Tree<br>
        Tests for Normality<br>
        Typical Six Sigma Performance
        Metrics</font></span><b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><br>
        <br>
          </font><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000">Measurement
          Variation/System Analysis<br>
          <br>
          </font></b><span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2">Repeatability<br>
          Reproducibility<br>
          Procedure for Conducting<br>
          Interpreting Results &amp; Follow-up Actions<br>
          Accuracy, Stability, Linearity</font></span><p><b><font color="#000000" size="2">Steps &amp;
          Basic Tools of 6 Sigma Phase III<br>
          </font><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666">
        <br>
          </font></b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><b><font color="#666666">The Basic Tools for Data
          Collection&nbsp;</font></b><span class="style4"><br>
          Tally/sheets/Checksheets<br>
          Histograms, Bar Charts, Pareto<br>
          <br>
          </span>
          <b><font color="#666666">The Basic Tools for Data Analysis</font></b><span class="style4"><br>
          Teaming/Brainstorming, The 5 Why's,&nbsp;<br>
 Root Cause
          Analysis, Fishbone,&nbsp;<br>
 Scatter Diagram,
          Charting Data Over Time,<br>
          Multi-Vari Charts, Process Mapping
          </span>
          </font>
          <p><b><font color="#000000" size="2" face="Verdana">Process Mapping<br>
          <br>
          </font></b><span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif" size="2">The
          Basics of Process Mapping<br>
          Creating the Present-State Process Map<br>
          Analyzing the Present-State Map<br>
          Creating the Future-State Process Map</font></span><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><span class="style5">Statistical
          Population Tests</span><span class="style4">
          <br>
          <br>
        Basic Concepts and Terms<br>
        Statistical Risks<br>
        One- and Two-Tail Tests<br>
        Inference Test Decision Tree<br>
        Tests on 2 Means (Z, t)<br>
        Tests on 2 Variances
        (Chi-squared, F)<br>
          Chi-Squared Goodness of Fit Test<br>
        Tests on Multiple (&gt;3) Means
        and Variances<br>
        Tests on Proportions<br>
        Determining Sample Size<br>
        Non-Parametric Tests</span></font><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><b><br>
        <br>
        </b></font><b><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000">Design of
            Experiments</font><font face="Verdana, Arial, Helvetica, sans-serif" size="2"
            color="#666666"><br>
            <br>
            </font></b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><b><font color="#666666">Basic</font></b><font color="#666666"><b>
          Experimental Design and Analysis</b></font><span class="style4"><br>
            Orthogonal Arrays and
            Fractional Factorials<br>
            Main Effects and Interactions<br>
            Level Averages and Response
            Graphs<br>
          Confounding<br>
          Mixed-Level Designs<br>
          <br>
          &nbsp;&nbsp;&nbsp;&nbsp; contd.&nbsp;</span></font></td>
        <td width="1" height="261" rowspan="2"></td>
        <td width="372" valign="top" height="1"><dl>
          <dd align="left">
            <p align="left"><br>
            <img src="pic1_doe.gif" width="311" height="116"> <br>
            <font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><b><font color="#666666"><br>
            Intermediate Design and Analysis</font></b><span class="style4">
            <br>
            Other Design Considerations:
            Blocking,&nbsp;<br>
            &nbsp; Replications,
            Randomization, Centerpoints,
            etc.<br>
            2-way and 3-way Designs<br>
            Analysis of Variance (ANOVA)<br>
            Signal-to-Noise Ratios (Static)<br>
            Parameter Design and Robustness<br>
            The 2-Step Method: 1.
            Variation Reduction&nbsp;<br>
            &nbsp;then 2. Centering
            of the Mean<br>
            Control and Tuning Factors</span></font></dd>
        </dl>
          <dl>
          <dt>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <b><font color="#000000" face="Verdana, Arial, Helvetica, sans-serif" size="2">Statistical Process
            Control (SPC)</font><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><br>
        <br>
            </font>
        </b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><font color="#666666"><b>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
            SPC Concepts</b></font><span class="style4">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Quality Characteristics<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The Nature of Variation<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Tier Charts </span></font>
          </dt>
          <dd>&nbsp;</dd>
          <dt><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><span class="style4">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
            <font color="#666666"><b>Variables Control Charts</b></font><br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Application of the Central Limit
            Theorem<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Components of a Control
            Chart<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyzing SPC Charts for
            Patterns of Variation<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Autocorrelation&nbsp;<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Creating and Plotting SPC
            Charts<br>
            &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Determining Process
            Capability</span></font></dt>
          <dd>&nbsp;</dd>
          <dd><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><span class="style4"><b><font color="#666666">Attributes
            Control Charts</font></b><br>
            Conformance to Specification<br>
            Selecting the Type of Attribute Chart<br>
            p Charts<br>
            np Charts<br>
            c Charts<br>
            u Charts<br>
            Attributes Inspection Capability Studies</span></font></dd>
          <dd><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><span class="style4"><br>
            <font color="#666666"><b>Other Types of Control Charts</b></font><br>
            Variations of Conventional Charts<br>
            Short-Run Charts</span></font></dd>
          <dd>&nbsp;</dd>
          <dd><b><font color="#000000" size="2" face="Verdana">Steps &amp; Basic
        Tools of Phase IV</font><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2" color="#666666"><br>
        <br>
        </font></b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><b><font color="#666666">The Basic Tools for Selecting
            Solutions</font></b><span class="style4"><br>
            Multi-Voting, Decision-Making Matrix</span></font></dd>
        </dl>
          <p><font color="#666666"><b><font face="Verdana, Arial, Helvetica, sans-serif"
        size="2">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The Basic
          Tools for Planning and<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
          Implementing Solutions<br>
          </font></b></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
          <font face="Verdana, Arial, Helvetica, sans-serif"
        size="2"><span class="style4">Force
       Field Analysis, Project Status Reports</span></font></p>
          <dl>
          <dd><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000"><b>Failure
            Mode &amp; Effects Analysis (FMEA)</b></font></dd>
        </dl>
          <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Overview
          of the Types of FMEAs<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Using Process FMEAs for
          Planning Process<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Controls<br>
          &nbsp;</font></span><b><font size="2" face="Verdana, Arial, Helvetica, sans-serif" color="#000000"><br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Introduction to Correlation
          &amp;
        Regression<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; (C &amp;
          R) Analysis &nbsp;</font><font face="Verdana, Arial, Helvetica, sans-serif" size="2" color="#666666"> <br>
        <br>
        </font></b><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b><font color="#666666">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
          </font></b>Introduction<span class="style4"><br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Scatter Diagrams<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Least-Squares Estimating<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Creating and Using the
        Regression
        Line<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Standard Error of the
        Estimate<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Confidence Intervals in C
          &amp; R<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coefficients of Determination
        and
        Correlation<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Inference Tests Used in C
          &amp; R&nbsp;<br>
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Model Fitting and Residuals<br>
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        </font> </p>
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          </font></b></dt>
          <dd>&nbsp;</dd>
          <dd><span class="style4"><font face="Verdana, Arial, Helvetica, sans-serif"
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