Instructors  
Prof. Milo Koretsky  Rich Hilliard  Joseph Kraai  Michael Rodriquez  Arni Sturluson 
eMail: koretsm@engr.orst.edu  hilliarr@oregonstate.edu  kraaij@oregonstate.edu  rodrimic@oregonstate.edu  sturlusa@oregonstate.edu 
Tuesday
12:30 
Tuesday
2:30 3:30 
Monday
23 
Monday
34 
Tuesday
121 
Week 
Topic 
Reading  Prequiz  Handout  Studio  Homework 
Due 
Solution 
1 
Summary statistics, box plots, scatter plots and histograms 
R. Text: 1.1, 2.1, 2.3  2.6  R: Go to Esrimation of Mean, Mode, and SD Use the button new data set to try again. Repeat until you can come close to the values.  Week
1 W_1_R.xlsx 
Studio1 
4/12 

2 
Probability distributions 
R: 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. R: Prequiz on Concept Warehouse 
Week 2 W_2_T.xlsx W_2_R.xlsx 
Studio 2  HW#2 
4/19 
HW#2Sln 
3 
Sampling distributions and confidence intervals 
T: 4.1,4.2,4.6 supp read 9.2 R: supp read 9.4, 9.6 
T: Prequiz on Concept Warehouse R: Prequiz on Concept Warehouse 
Week 3 Statistical Tables MATLAB dists. 
Studio 3  HW#3 HW 3_1 HW_3_2.xlsx HW_3_3.xls HW_3_4.xls 
4/26 
HW#3Sln 
4 
Sampling distributions and confidence intervals Linear regession and model fits 
T: Catchup R: 6.1, 6.2.1, 6.2.3, 6.2.4 
T: Prequiz on Concept Warehouse R: Prequiz on Concept Warehouse 
Example W_4_T.xlsx Worked Week 4 W_4_R.xlsx 
Studio 4  HW#4 
5/4 (start of class) 
HW#4Sln 
5 
Linear regession and model fits 
T: 6.3.1, 6.4.1 R: Matrix methods see handout Week 4 
T: Prequiz on Concept Warehouse (and muddies/surprising point) R: HW Due ... no prequiz 
W_5_T.xlsx MT guide Matrix MATLAB Raw_Data.xlsx 
Studio 5  No HW 


6 
Multiple linear and non linear regression 
T: Midterm Exam R: No Reading 
T: MT Exam ... no prequiz  MT Cover Concept Map 
Studio
6 (MT Group) 
HW#5 
5/17 
HW#5Sln 
7 
ANOVA 
T: pp 272281 R: pp 281288 
T: Prequiz on Concept Warehouse R: Complete CATME Peer Eval 
Week 7 W_7_T.xlsx Visual Data Lecture Slides T 
Studio 7  HW#6 HW6.xls 
5/24 
HW#6Sln 
8 
Statistical Process Control 
T: pp 439456,461464  T: Complete CATME Peer Eval R 
Week 8 Lecture Slides W8 
Studio 8  HW#7 Studio 8 data 
5/31 
HW#7Sln 
9 
DOE 
T: Sections 72, 73 R:Sections 74, 75 
Week 9_T AT&T Paper W_9_T.xlsx Week 9_R W_9_R.xlsx 
Studio 9 Fab Link Equip Manual 
HW#8 
6/7 
HW#8Sln  
10  Week 10_T Final Study Guide Week 10_R Concept Maps 
Studio 10 
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.
Studio Time  Section  Room  GTA  LA 
W 810  012  BEXL 102  Rich Hilliard  Ryan Cashen 
013  BEXL 103  Michael Rodriquez  Abdullah Almutawa  
W 12  2  014  BEXL 102  Joseph Kraai  Emma Flaherty 
015  BEXL 103  Michael Rodriquez  Lorena Colcer  
W 2  4  016  BEXL 102  Arni Sturluson  Ayman Alabdullatif 
017  BEXL 103  Rich Hilliard  Emma Flaherty  
W 46  018  BEXL 102  Arni Sturluson  Ayman Alabdullatif 
019  BEXL 103  Joseph Kraai  Lorena Colcer 
Lecture handouts are available in the Table towards the top of this page.
By the end of this course, you will
be able to: