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8/3/2019 CHE320 Introductory Lecture
http://slidepdf.com/reader/full/che320-introductory-lecture 1/14
CHE32000 Statistical Modeling and Quality Enhancement
Instructors: Jim Litster, Joseph Irudayaraj, Patrick Oglesby
Teaching Assistant: Laura Hirshfield, Harshit Sodhani, Hector
ChangSecretary: Virginia Ewing FRNY 1060A
vewing@purdue.edu
CHE32000
Statistical Modeling and QualityEnhancement
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Does the increase of CO2 in the
atmosphere cause global warming?
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Does the increase of CO2 in the
atmosphere cause global warming?
8/3/2019 CHE320 Introductory Lecture
http://slidepdf.com/reader/full/che320-introductory-lecture 4/14
CHE32000 Statistical Modeling and Quality Enhancement
Our conclusion is made difficult because:
All real data contains variability
± In the math world
Y = 10
± In the CHE205 world
Y = 10 kg
± In the real world
Y = 10±2 kg
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Our conclusion is made difficult because:
All real data contains variability
± In the math world
Y = 10
±In the CHE205 world
Y = 10 kg
± In the real world
Y = 10±2 kg
A random variable has a measured value that changesfrom one replicate to another.
X = +
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Our conclusion is made difficult because:
We did not have a desi gned experiment.
Three types of experiment
±Retrospective study
± Observational study
± Designed experiment
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
The Engineering Method
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Stat ist ics is the science of d ata
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Statistical Inference
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Course Objective
Develop and apply statistical methods for use
in the senior engineering laboratories and for
professional use in the chemical process
industries. ± How to handle the variability in real data
± How to estimate, measure and minimize
experimental error
± How to test statistical hypothesis on real data
± Developing models to fit real data
± Designing useful experiments
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Course structure
2 lectures per week ± Key concepts
± Some examples
± Handouts to be posted on blackboard. Bring them to class.
Weekly recitations ± Very important
± Applications and Problem solving ± By hand
± Using computer software
Text book Montgomery, Runger and Hubele: E ngi neeri ng Stat ist ics 5th E d
Also resources on the web pagewww.wiley.com/college/montgomery
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Course structure
Blackboard site
± Resources for lectures
± Homeworks and solutions
± Other resources
± Grades
± Check at least once a week
Assessment
± Exams during semester: two @ 15%
± final exam 30%
± Recitation/homeworks 20%
±
Project(s) 20%
8/3/2019 CHE320 Introductory Lecture
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CHE32000 Statistical Modeling and Quality Enhancement
Recitations and homeworks
Recitations start this week
± Grade for active attendance
±
Homeworks done in groups of 3 ± Groups assigned randomly in your recitation group
this week
± One grade per group + peer assessment
± First homework in week 2
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CHE32000 Statistical Modeling and Quality Enhancement
This week
Attend your recitation
Browse through chapters 1 and 2 of the text
Log on to the text book website and look atthe various on line resources
Download first set of notes and bring them to
W
ednesdays lecture
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