DESIGN OF EXPERIMENTS
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DESIGN OF
EXPERIMENTS
DOE
STATISTICAL EXPERIMENTS
By Mike Newtown
• Why experiment?
• To increase knowledge about a process
• What good is increased knowledge?
• Increase the output of the process
• Reduce variability
• Produce a robust product that is not
influenced by environmental factors
• Why Experimental Design?
• To obtain valid conclusions from
an experiment
• To yield the maximum amount of
useful information with the least
amount of experimentation
(experiments cost money)
• Types of scientific studies
• Experimental- variables of interest
can be controlled
• Observational- variables can not
be controlled (data analysis)
• Choose at least two factors that
influence the output of the
experiment
• Rank order the factors
• Determine levels of control
• Consider the resource available
to perform the test
Good Experiments
Should:
• Eliminate know source of bias
• Guard against unknown source
of bias
Variation
• Experimental Errors:
• Setting not exact enough to be
fixed exact same point each time
• Measurement Errors:
• Inability to obtain exactly the
same measurement on the
successive, identical test runs
Combat Variation
• Standardize procedure
• Collect larger number of data
points
Accuracy & Precision vs. Cost
Scientific Method
• Investigate situation
• Define problem clearly
• Formulate hypotheses
• Select appropriate experiment
• Conduct experiment
• Analyze results
• Draw Conclusions
• Take action on conclusions
Statistics
• Mean
• Range
• Standard Deviation
• Z tables
Are very important in analyzing
data
Hypothesis Testing
• In an experiment, we don’t test
to see if our ideals are right, we
test to see if they are wrong.
• Null Hypothesis (Ho) statement
of ideal as if nothing unusual
was occurring
• Alternative hypothesis (Ha)
Lets see how this works
Problem: Sub dough at Subway
Factor A: dough type (type 1 & 2)
Factor B: oven temperature
(125 and 140 Celsius)
Factor C: bake time (8 mins or 10
mins)
See board work
Your Turn to try
• Paper Helicopters
• See ENGS 101 Blackboard Site
• Team competition for the
longest flight time.
• Using your experimental data
taken Thursday in class design
the optimal helicopter.
• This is 3 factor 2 levels
experiment
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