CBEE 213
Process Data Analysis

Spring 2018

Lecture: TR 4-5:50 LINC 210

Instructors
Prof. Milo Koretsky Dr. Ed Michor
 Elliott Fowler Rich Hilliard Dylan Oney
 koretsm@engr.orst.edu michore@oregonstate.edu  fowlejam@oregonstate.edu  hilliarr@oregonstate.edu oneyd@oregonstate.edu
Help Hours
Monday 4-6
200 Gleeson
Help Hours
Monday 4-6
200 Gleeson
Help Hours
Tuesday 2:30-3:30
306 Gleeson
Help Hours
Monday 4-6
200 Gleeson
Help Hours
Friday 2:30-3:30
306 Gleeson

 

AIChE Concept Warehouse

General syllabus for course is available here.

Statistical Tables

Page Contents

 

Open Access Text Resources:
Collaborative Statistics (CS)
StatSoft (SS)
Introductory Statistics (IS)
Engineering Stats Handbook (ESH)
Concepts and Applications of Inferential Stats (CAIS)

Optional Text:

Engineering Statistics, 5th E, Montgomery, Runger, & Hubele, 2011. ISBN : 978-0-470-63147-8

Activity Grid:
Week

Topic

Reading Prequiz Handout Studio Homework

Due

Solution
1

Summary statistics, box plots, scatter plots and histograms

 Required.
Week 1
CS - Chapter 6
Additional:
IS - Chapter 2
SS - Elementary Concepts
Montgomery: 1.1, 2.1, 2.3 - 2.6
 R: Go to Estimation of Mean, Mode, and SD Use the button  new data set to try again. Repeat until you can come close to the values. Following this, answer the Pre-quiz on Concept Warehouse. Week 1 Lecture Notes
W_1_R.xlsx		 Studio1

HW#1

4/11

HW#1Sln
2

Probability distributions

Required
Week 2
Distributions
CS-Chapter 10
CS-8.5,  CS-8.8
Additional:
CS Chapter 5
Montgomery: 3.1, 3.2, 3.5.1, 3.6.1, 3.8, 3.13		 T: Go to Histograms and Box Plots. Use the button :new data set' to try again. Repeat until you can match the representations consistently. Following this, answer the pre-quiz on Concept Warehouse.
R: Pre-quiz on Concept Warehouse		 Week 2 Lecture Notes
W_2_T.xlsx
W_2_R.xlsx		 Studio 2 HW#2
Normal Distribution

4/18

 HW#2Sln
3

Sampling distributions and confidence intervals

Supplemental reading 

 Required
Week 3
Lapin Section:
Additional:
CS-11.1, CS-11.2, CS-12.1, CS-12.2, CS-12.3		 T: Read The Lady Tasting Tea and answer the pre-quiz question on Concept Warehouse
R:Pre-quiz on Concept Warehouse
Week 3 Lecture Notes
Statistical Tables
CMP Example

 Studio 3 HW#3
HW 3_1
HW_3_2.xlsx
HW_3_3.xls
HW_3_4.xls

4/25

 HW#3Sln
4

Sampling distributions and confidence intervals 

Hypothesis Testing 

(1 and 2 sample)

 Required:
CS-Chapter 13, CS-Chapter 14
Additional:
Montgomery:  6.1, 6.2.1, 6.2.3, 6.2.4		 T: Pre-Quiz on Concept Warehouse.
R:  Pre-Quiz on Concept Warehouse.		 Week 4 Lecture Notes
W_4_R.xlsx
MatLAB Debug file		 Studio 4 HW#4
HW4.xls

5/2

 HW#4Sln
5

Linear regession and model fits
Required
Week 5
CS-Chapter 16,
Additional:
Montgomery: 6.3.1, 6.4.1		 T: Pre-Quiz on Concept Warehouse.
R:  		Week 5 Lecture Notes
MT guide
Concept Map
 Studio 5 No HW


6

Multiple linear and non linear regression

 Required
Week 5		 T:  Week 6 Lecture Notes
MATLAB Review
AirV_raw.xlsx
MATLAB in Class		 Studio 6
(MT Group)		 HW#5

5/16

 HW#5Sln
7

ANOVA

Required
Week 7
CS - Chapter 17
Additional:
Montgomery
T: pp 272-281
R: pp 281-288		 T: Pre-Quiz on Concept Warehouse
R: Pre-Quiz on Concept Warehouse		 Week 7 Lecture Notes
W_7_T.xlsx
W_7_R.xlsx
 Studio 7 HW#6

5/23

 HW#6Sln
8

Statistical Process Control

 Required
Week 8
StatSoft
NIST SPC
Additional:
Montgomery
T: pp 439-456,461-464		 T: Pre-Quiz on Concept Warehouse
R: Pre-Quiz on Concept Warehouse		 Week 8 Lecture Notes
W_8_T.xlsx
W_8_R.xlsx		 Studio 8
SPC Reactor Manual		 HW#7
HW_7_1

5/30

 HW#7Sln
9

DOE

 Required
Week 9
StatSoft: DOE Overview
Fractional Factorial Design at 2 levels
Additional:
A first course in DOE (Chapter 8, pages 165-203)
Montgomery
T: Sections 7-2 to 7-5		 Week 9 Lecture Notes
AT&T Paper
W_9_T.xlsx
W_9_T worked.xlsx
W_9_R.xlsx		 Studio 9
Fab Link
Equip Manual
Screening Design		 HW#8
HW_8_4

6/6

 HW#8Sln
10 2k Designs
 Week 10 Tuesday Lecture Notes
Week 10 Thursday Lecture Notes
Final Study Guide
Concept Maps
Final Cover Page		 Studio 10

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Announcements

  1. Office Hours for Finals Week: Monday June 11, 1-4 PM, Gleeson 200.
  2. A summary of topics for the Final Exam is available here
  3. The midterm study guide  available here
  4. MATLAB help session will be Monday April 16, 6-7:30 in 200 Gleeson. Please bring a laptop with MATLAB installed. At the help session you will work through the exercise here.
  5. HW #2 Posted (04/08/2018)
  6. MATLAB syntax sheets are available here and here 
  7. MATLAB resources are available here
  8. HW #1 Posted (04/01/2018)
  9. Welcome to ChE, BioE, EnvE 213 :)

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Homework Assignments

The homework assignments will be posted on this web page every week.

Homework assignments are to be turned in at studio at the beginning of class on the due date. Any computer work should be turned in as a hard copy and submitted via the web. Go to https://secure.engr.oregonstate.edu:8000 chose 'login to ENGR', and then follow instructions to submit. Files should be named HW#_YourLastName.

 

The required format is posted here. Your homework will not be graded if it does not adhere to this format (although we may be lenient for HW1)

Solutions (PDF) will be provided in this page after the date each homework assignment is due.

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Studios

 

Studio Time Section Room GTA LA
W 8 - 10 012 BEXL 102 Elliott Fowler Jake Cook
013 BEXL 103 Dylan Oney
 Levi Clark
W 12 - 2 014 BEXL 102 Rich Hilliard Blake Bronson
015 BEXL 103 Dylan Oney Anthony Pyka
W  2 - 4 016 BEXL 102 Rich Hilliard Alfie Davis
017 BEXL 103 Dylan Oney Anthony Pyka
W  4 - 6 018 BEXL 102 Rich Hilliard Alfie Davis
019 BEXL 103 Elliott Fowler Blake Bronson
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Course Learning Objectives

By the end of this course, you will be able to:

  1. By hand and using software, perform the following: (1) statistically summarize data including measures of central tendency and dispersion, and (2) use the appropriate graphical form to summarize data for analysis including box plots, scatter plots and histograms. Match given graphical output to the corresponding summary statistics. Explain trends in data based on these methods.
  2. List the key characteristics of probability distributions, in particular the normal distribution. Given a histogram, explain how it relates to the normal distribution. Given a mean, standard deviation and observed value, calculate the z-score and find the corresponding percentile. Identify populations that follow a binominal distribution and a Poisson distribution
  3. Describe the sampling distribution of a statistic, in particular the t distribution and the chi-squared distribution. Given a study, describe what role statistical inference plays in terms of the population and sample. Calculate confidence intervals. Statistically analyze data for significance and compare sets of data. Define the standard error of a statistic.
  4. Fit experimental data to an empirical model equation using least squares analysis. For linear regression, both by hand and using software, calculate the slope intercept and correlation coefficient. Explain the relation between the slope of the regression line and the correlation coefficient.
  5. Given data from a process, calculate control limits and capability (Cp and Cpk). Distinguish between specification limits and control limits. Make SPC control charts, including x, x-bar R, and x-bar S charts.
  6. Quantify the effect of (i) a single factor and (ii) two factors on a process by applying Analysis of Variance (ANOVA).
  7. In the context of Design of Experiments (DOE), (i) set up a balanced design array, (ii) create a marginal means plots and/or an interaction plot from the experimental response, and (iii) develop an empirical model equation.
  8. Define the important elements of a measurement system. Calculate the repeatability and reproducibility of a gauge based on measured data.

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Links and Applets

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