Instructors  
Prof. Milo Koretsky  Catherine
Mays 
Kristal Williams  Ryan Cashen  
koretsm@engr.orst.edu  maysc@oregonstate.edu  willikr2@oregonstate.edu  cashenr@oregonstate.edu  
Help Hours
Monday 45 (100 Gleeson) Tuesday 12 (200 Gleeson) 
Help Hours
Monday 46 100 Gleeson 
Help Hours
Tuesday 12 Friday 2:303:30 200 Gleeson 
Help Hours
Monday 46 100 Gleeson 
Engineering Statistics, 5th E, Montgomery, Runger, & Hubele, 2011. ISBN : 9780470631478
Optional Text:
Week 
Topic 
Reading  Prequiz  Handout  Studio  Homework 
Due 
Solution 
1 
Summary statistics, box plots, scatter plots and histograms 
Required.
Montgomery: 1.1,
2.1, 2.3  2.6
Week 1 Additional: CS  Chapter 6 IS  Chapter 2 SS  Elementary Concepts 
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 Prequiz on Concept Warehouse.  Week 1 Lecture Notes  Studio1 
4/10 
See Week 2 Lecture Notes  
2 
Probability distributions 
Required Montgomery: 3.1, 3.2, 3.5.1, 3.6.1, 3.8, 3.13 Additional: Week 2 Distributions MATLAB text CSChapter 10 CS8.5, CS8.8 CS Chapter 5 
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 prequiz
on Concept Warehouse. R: Prequiz on Concept Warehouse 
Week
2 Lecture Notes W_2_T.xlsx Coin Flip MATLAB 
Studio 2  HW#2 Normal Distribution 
4/17 
HW#2Sln 
3 
Sampling distributions and confidence intervals 
Required Week 3 Lapin Additional: MATLAB text CS11.1, CS11.2, CS12.1, CS12.2, CS12.3 
T: Read The Lady Tasting Tea and answer
the prequiz questions on Concept Warehouse R:Prequiz on Concept Warehouse 
Week 3 Lecture Notes  Studio_3_Data.xls  HW#3 HW_3_1.xlsx Studio_2_Data.xlsx 
4/24 
HW#3Sln 
4 
Sampling distributions and confidence intervals Hypothesis Testing (1
and 2 sample) 
Required: Week 4 Montgomery: 6.1, 6.2.1, 6.2.3, 6.2.4 Additional: CSChapter 13, CSChapter 14 
T: PreQuiz on
Concept Warehouse. R: PreQuiz on Concept Warehouse. 
Week
4 Lecture Notes W_4_R.xlsx 
HW#4 
Q 13 5/3 Q 4 5/6 (changed) 
HW#4Sln (P13) HW#4Sln (P4) 

5 
Linear regession and model fits 
Required Week 5 Montgomery: 6.3.1, 6.4.1 Additional: CSChapter 16, 
T: PreQuiz on
Concept Warehouse. R: PreQuiz on Concept Warehouse. 
Week 5 Lecture Notes 
Studio 5 


6 
Multiple linear and non linear regression 
Required Week 5 
T: The Midterm Exam on Tuesday is in Milam 026. No prequiz. The midterm study guide is available here  The midterm study guide is available here  Sugar Reactor Laboratory Manual  HW#5 
5/15 
HW#5Sln 
7 
ANOVA 
Required Week 7 Montgomery T: pp 272281 R: pp 281288 Additional: CS  Chapter 17 
T: PreQuiz on
Concept Warehouse R: PreQuiz on Concept Warehouse 
Week 7 Lecture Notes  ANOVA_StatGraph  HW#6 concept maps 
5/22 
HW#6Sln 
8 
Statistical Process Control 
Required Week 8 StatSoft NIST SPC Montgomery T: pp 439456,461464 
T: PreQuiz on
Concept Warehouse R: PreQuiz on Concept Warehouse 
Week 8 Lecture Notes  SPC Laboratory Manual  HW#7 HW#7_4 HW_7.xls 
5//30 
HW#7Sln 
9 
DOE 
Required Week 9 Montgomery T: Sections 72 to 75 Additional: StatSoft: DOE Overview Fractional Factorial Design at 2 levels A first course in DOE (Chapter 8, pages 165203) 
T: PreQuiz on
Concept Warehouse R: PreQuiz on Concept Warehouse 
Week 9 Lecture Notes W_9 T.xlsx W_9 R.xlsx 
Studio
9 Fab Link Equip Manual Screening Design 
HW#8 HW8.xlsx 
6/5 
HW#8Sln 
10  2k Designs 
T: PreQuiz on
Concept Warehouse R: PreQuiz on Concept Warehouse 
Week 10 Lecture Notes The final study guide is available here 
The homework assignments will be
posted on this
web page every week.
Homework grading will be managed via the software program Gradescope. Submit a scanned copy of your HW by 8 AM on Wed.
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.
Studio Time  Section  Room  GTA  LA 
W 8  10  012  BEXL 102  Catherine Mays  Karen DSouza (89) 
013  BEXL 103  Kristal Williams  Anthony Pyka  
W 12  2  014  BEXL 102  Catherine Mays  Ryan McLaughlin 
015  BEXL 103  Kristal Williams  Karen DSouza  
W 2  4  016  BEXL 102  Ryan Cashen  Shayne Sensenbach 
017  BEXL 103  Kristal Williams  Ryan McLaughlin  
W 4  6  018  BEXL 102  Ryan Cashen  Shayne Sensenbach 
019  BEXL 103  Catherine Mays  Anthony Pyka 
By the end of this course, you will
be able to: