Name  Help Hours (Go to Canvas Syllabus page for Zoom urls for each help hour)  
Milo Koretsky, Instructor  koretskm@engr.orst.edu  M 46 PM 
Di Chen, GTA  chend4@oregonstate.edu  T 911 AM 
Juliana Huizenga, GTA  huizengj@oregonstate.edu  M 13 PM 
Omar Mohamed, GTA  mohameom@oregonstate.edu  T 68 PM 
Kelly Rodman, GTA  rodmank@oregonstate.edu  M 24 PM 
Shayne Sensenbach, GTA & LA  sensenbs@oregonstate.edu  M 34 PM , F 12:301:30 PM 
Tyler Guyer, LA  guyert@oregonstate.edu  T 89 AM; R 121 PM 
Alekos Hovekamp, LA  hovekama@oregonstate.edu  M 67, T 1112 
Joe Johnson, LA  johnsjo4@oregonstate.edu  M 121, T 23 
Kyla Jones, LA  jonekyla@oregonstate.edu  M 12, R 12 
Jake Cook, Technology Consultations  cookjac@oregonstate.edu  M 34, T 1:302:30 
Engineering Statistics, 5th E, Montgomery, Runger, & Hubele, 2011. ISBN : 9780470631478
Statistics for Data Analytics, zyBook
Optional Text:
Week 
Topic 
Reading  Prequiz  Handout  Studio  Homework 
Due 
Solution 
1 
Summary statistics, box plots, scatter plots and histograms 
Required. zyBook, Week 1: Exploratory Data Analysis
Week 1 Handout Additional: Montgomery: 1.1, 2.1, 2.3  2.6 See also (CS  Chapter 6; IS  Chapter 2; SS  Elementary Concepts) 
R: Answer questions in Week 1: zyBook, Exploratory Data Analysis  Week
1 Tuesday Lecture Notes Week 1 Thursday Lecture Notes 
Studio 1 
4/8 
HW#1  
2 
Probability distributions 
Required zyBook, Week 2: Normal Distribution Montgomery: 3.1, 3.2, 3.5.1, 3.6.1, 3.8, 3.13 Week 2 Additional: Distributions; MATLAB text; CSChapter 10 CS8.5, CS8.8, CS Chapter 5 
T: Answer questions in Week 2: zyBook, Normal Distribution R: Prequiz on Concept Warehouse 
Week 2 Tuesday Lecture Notes Week 2 Thursday Lecture Notes 
Posted in Canvas  HW#2 
4/15 
HW#2 
3 
Sampling distributions and confidence intervals 
Required zyBook, Week 3: Week 3 Additional: Lapin MATLAB text CS11.1, CS11.2, CS12.1, CS12.2, CS12.3 
T:Answer questions in Week 3: zyBook R:Prequiz on Concept Warehouse 
Week 3 Tuesday Lecture Notes Week 3 Thursday Lecture Notes Week 3 Thursday spreadsheet calcs 
Posted in Canvas  HW#3 
4/22 
HW#3 
4 
Sampling distributions and confidence intervals Hypothesis Testing (1
and 2 sample) 
Required: zyBook Week 4: Week 4 (updated 04/27) Montgomery: 6.1, 6.2.1, 6.2.3, 6.2.4 Additional: CSChapter 13, CSChapter 14 
T: Answer questions in Week 4: zyBook R: Answer questions in Week 4: zyBook 
Week 4 Tuesday Lecture Notes Week 4 Thursday Lecture Notes (updated 04/27) 
Posted in Canvas  HW#4 (Only Problems 1 and 2 are due by 5/1; problem 3 will be due 5/13) 
5/1 (5 PM)  HW#4 
5 
Linear regession
and model fits 
Required zyBook Week 5: Week 5 Montgomery: 6.3.1, 6.4.1 Additional: CSChapter 16, 
T: Answer questions in Week 5: zyBook. R: PreQuiz on Concept Warehouse. 
Week 5 Tuesday Lecture Notes Week 5 Thursday Lecture Notes 


6 
Exam Week 
Required Week 5 
T: No prequiz. The midterm study guide is available here The midterm from last year is here 
Week 6 Thursday Lecture Notes  HW#5 
5/13 

7 
Multiple
linear and non linear regression ANOVA Statistical Process Control 
Required Week 7 StatSoft NIST SPC Montgomery T: pp 439456,461464 
T: No PreQuiz R: No PreQuiz 
Week 7 Tuesday Lecture Notes Week 7 Thursday Lecture Notes 
HW#6 
5/20 

8 
Statistical Process Control DOE 
Required Week 8 Montgomery T: pp 272281 R: pp 281288 Additional: CS  Chapter 17 
T: PreQuiz on
Concept Warehouse R: No prequiz 
Week 8 Tuesday Lecture Notes Week 8 Thursday Lecture Notes 
HW#7 HW7data_2020.xlsx 
5/27 
HW#7  
9 
DOE / ANOVA 
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) 2k Designs 
T: PreQuiz on
Concept Warehouse R: PreQuiz on Concept Warehouse 
Week 9 Tuesday Lecture Notes Week 9 Thursday Lecture Notes 


10  Project Work Time  NO CLASS 
Work on your project in your group's Zoom room 
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  Zoom  Juliana Huizenga huizengj@oregonstate.edu 
Alekos Hovekamp hovekama@oregonstate.edu 
013  Zoom  Omar Mohamed mohameom@oregonstate.edu 
Shayne Sensenbach sensenbs@oregonstate.edu 

W 10  12  020  Zoom  Omar Mohamed mohameom@oregonstate.edu  Kyla Jones jonekyla@oregonstate.edu 
W 12  2  014  Zoom  Kelly Rodman rodmank@oregonstate.edu 
Tyler Guyer guyert@oregonstate.edu 
015  Zoom  Di Chen chend4@oregonstate.edu 
Joe Johnson johnsjo4@oregonstate.edu 

W 2  4  016  Zoom  Juliana Huizenga huizengj@oregonstate.edu 
Alekos Hovekamp hovekama@oregonstate.edu 
017  Zoom  Di Chen chend4@oregonstate.edu 
Kyla Jones jonekyla@oregonstate.edu 

W 4  6  018  Zoom  Kelly Rodman rodmank@oregonstate.edu 
Tyler Guyer guyert@oregonstate.edu 
019  Zoom  Shayne Sensenbach sensenbs@oregonstate.edu 
Joe Johnson johnsjo4@oregonstate.edu 
By the end of this course, you will
be able to: