| Name | Help Hours (Go to Canvas Syllabus page for Zoom urls for each help hour) | |
| Milo Koretsky, Instructor | koretskm@engr.orst.edu | M 4-6 PM |
| Di Chen, GTA | chend4@oregonstate.edu | T 9-11 AM |
| Juliana Huizenga, GTA | huizengj@oregonstate.edu | M 1-3 PM |
| Omar Mohamed, GTA | mohameom@oregonstate.edu | T 6-8 PM |
| Kelly Rodman, GTA | rodmank@oregonstate.edu | M 2-4 PM |
| Shayne Sensenbach, GTA & LA | sensenbs@oregonstate.edu | M 3-4 PM , F 12:30-1:30 PM |
| Tyler Guyer, LA | guyert@oregonstate.edu | T 8-9 AM; R 12-1 PM |
| Alekos Hovekamp, LA | hovekama@oregonstate.edu | M 6-7, T 11-12 |
| Joe Johnson, LA | johnsjo4@oregonstate.edu | M 12-1, T 2-3 |
| Kyla Jones, LA | jonekyla@oregonstate.edu | M 1-2, R 1-2 |
| Jake Cook, Technology Consultations | cookjac@oregonstate.edu | M 3-4, T 1:30-2:30 |
Engineering Statistics, 5th E, Montgomery, Runger, & Hubele, 2011. ISBN : 978-0-470-63147-8
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; CS-Chapter 10 CS-8.5, CS-8.8, CS Chapter 5 |
T: Answer questions in Week 2: zyBook, Normal Distribution R: Pre-quiz 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 CS-11.1, CS-11.2, CS-12.1, CS-12.2, CS-12.3 |
T:Answer questions in Week 3: zyBook R:Pre-quiz 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: CS-Chapter 13, CS-Chapter 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: CS-Chapter 16, |
T: Answer questions in Week 5: zyBook. R: Pre-Quiz on Concept Warehouse. |
Week 5 Tuesday Lecture Notes Week 5 Thursday Lecture Notes |
|
|||
| 6 |
Exam Week |
Required Week 5 |
T: No pre-quiz. 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 439-456,461-464 |
T: No Pre-Quiz R: No Pre-Quiz |
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 272-281 R: pp 281-288 Additional: CS - Chapter 17 |
T: Pre-Quiz on
Concept Warehouse R: No pre-quiz |
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 7-2 to 7-5 Additional: StatSoft: DOE Overview Fractional Factorial Design at 2 levels A first course in DOE (Chapter 8, pages 165-203) 2k Designs |
T: Pre-Quiz on
Concept Warehouse R: Pre-Quiz 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: