STAT 3704
Engineering Method
1.
Define Problem
2.
Postulate Important Factors
3.
Formulate Working Model (formula)
4.
Collect Data using experiment
5.
Estimate working model (use data)
6.
Determine Important Factors, test model
7.
Revise working model
8.
Collect Additional Data to confirm model
9.
Repeat 28 if no model found
•
Efficient and methodical procedure for
solving engineering problems and
developing models
•
Population
: set of all possible
observations of interest for a problem at
hand
Data Collection
1.
Purpose of study
2.
Characteristics of interest
3.
Measurement of characteristic of interest
4.
Presumed engineering model
5.
Parameters of interest (unknown values)
6.
Physical constraints
Methods of Collection
1.
Retrospective study data already exists
2.
Observational study minimally
interacting with environment
3.
Design of experiment
Sampling Techniques
•
Simple Random Sampling each object
has same probability of being chose
•
Stratified Random Sampling each object
w/in group has same …..
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 Spring '07
 TALAURA
 Normal Distribution, Probability theory, stratified random sampling, normal distribution symmetric, Multiplicative Law Law of Total Probability Bayes Law, experiment Sampling Techniques

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