**comment chapter 5 (statistics)
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Outline
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1. Nomenclature
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2. Underlying Assumptions
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      Defining
      Testing
 
3. Quantitative vs. Graphical Analysis
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4. Probability Calculations
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5. Estimation
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      Process Location
      Process Variation
      Process Distribution
 
6. Summarizing Process Data
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7. Testing
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      Shifts in Process Location
      Shifts in Process Variation
 
8. Minimal Required Sample Size
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Typical Problems
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If the funnel process has
"historical"       of 10.0 seconds,
and if an engineering mod
is made (use larger ball),
and if post-mode data is
   9.3, 10.4, 11.1, 10.7, 1.07,
has the process improved?
 
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If the funnel process has
"historical"       of 1.0 seconds,
and if an engineering mod
is made (use larger ball),
and if post-mode data is
   9.3, 10.4, 11.1, 10.7, 1.07,
has the process precision
improved?
 
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If the funnel process has
pre-mod data:
   8.8, 9.9, 10.6, 10.2, 10.2,
and if an engineering mod
is made (use larger ball),
and if post-mod data is:
   10.8, 11.0, 11.5, 10.4, 11.6,
has the process improved?
 
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**move 0000 1350
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If the funnel process has
pre-mod data:
   8.8, 9.9, 10.6, 10.2, 10.2,
and if an engineering mod
is made (use larger ball),
and if post-mod data is:
   10.8, 11.0, 11.5, 10.4, 11.6,
has the process precision
improved?
 
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Fundamentals of
Stat Testing
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Historical
Engineering Mod
Data
New        =        ?
 
Test Stat:
 
 
Reference Distribution:
BHH, p. 631, 49-51
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Historical
Engineering Mod
Data
New        =        ?
 
Test Stat:
 
 
Reference Distribution:
BHH, p. 634-635, 119-120
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Data
Engineering Mod
Data
        =        ?
 
Test Stat:
 
 
Reference Distribution:
BHH, p. 631, 76-78, 115-117
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Data
Engineering Mod
Data
       =        ?
 
Test Stat:
 
 
Reference Distribution:
BHH, p. 636-640, 120-122
