Difference between revisions of "User talk:Kevin Dunn"

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You are probably looking for [http://learnche.mcmaster.ca http://learnche.mcmaster.ca]
You are probably looking for [http://learnche.mcmaster.ca http://learnche.mcmaster.ca]
The questions below are from previous McMaster University exams when the course was taught by Dr. John MacGregor and other instructors.  We have covered much of the same material - but a few topics were not covered - so don't expect to be able to answer all questions.
<rst>
<rst-options: 'toc' = False/>
<rst-options: 'reset-figures' = False/>
.. |-| replace:: :math:`-`
.. |+| replace:: :math:`+`
Size experiments were performed to assess the effects of the density (:math:`x_1`) and melt index (:math:`x_2`) of polyethylene chips on the quality (:math:`y`) of an extruded part.  It is hypothesized that, over the ranges considered, the effects are linear.  The data are mean centered and so a model of the form :math:`y = b_1x_1 + b_2x_2 + e`  should hold.  The sums of squares and cross products of the data are given below.
.. math::
  \sum{x_1^2} &= 7.0 \\
  \sum{x_2^2} &= 3.0 \\
  \sum{x_1x_2} &= 4.0 \\
  \sum{x_1y} &= 38.0 \\
  \sum{x_2y} &= 30.0 \\
 
\
</rst>





Revision as of 13:11, 7 January 2013


You are probably looking for http://learnche.mcmaster.ca


The questions below are from previous McMaster University exams when the course was taught by Dr. John MacGregor and other instructors. We have covered much of the same material - but a few topics were not covered - so don't expect to be able to answer all questions.

<rst> <rst-options: 'toc' = False/> <rst-options: 'reset-figures' = False/>

.. |-| replace:: :math:`-` .. |+| replace:: :math:`+`


Size experiments were performed to assess the effects of the density (:math:`x_1`) and melt index (:math:`x_2`) of polyethylene chips on the quality (:math:`y`) of an extruded part. It is hypothesized that, over the ranges considered, the effects are linear. The data are mean centered and so a model of the form :math:`y = b_1x_1 + b_2x_2 + e` should hold. The sums of squares and cross products of the data are given below.

.. math::

  \sum{x_1^2} &= 7.0 \\
  \sum{x_2^2} &= 3.0 \\
  \sum{x_1x_2} &= 4.0 \\
  \sum{x_1y} &= 38.0 \\
  \sum{x_2y} &= 30.0 \\
 

\ </rst>