STAT 720
1
Welcome to STAT 720!
1.1
About this course:
1.1.1
Logistics
1.2
Learning goals
1.3
On notation
1.4
Why do designed experiments exist?
1.4.1
Example
1.5
The golden rules of designed experiments
1.6
Other concepts in designed experiments
1.7
For tomorrow
2
Basic types of designed experiments
2.1
Announcements
2.2
Review
2.3
Types of designs - the basics
2.3.1
Completely randomized design (CRD)
2.3.2
Randomized complete block design (RCBD)
2.3.3
Incomplete block design (IBD)
2.4
Skeleton ANOVA tables
2.4.1
Practice examples
2.5
Homeworks
3
Basic types of designed experiments
3.1
Review
3.2
Types of designs
3.2.1
Completely randomized design (CRD)
3.2.2
Randomized complete block design (RCBD)
3.3
Building an ANOVA skeleton using design (aka topographical) and treatment elements
3.4
Linear model good old friend
3.4.1
The most common assumptions behind most software
3.5
Some Practice
3.6
To do
4
Linear models, ANOVA shells applied to the more basic experiment designs
4.1
Review
4.2
Linear models
4.2.1
The most common model - Assumptions
4.2.2
Connection between this and your classical ANOVA table
4.2.3
Sorghum example
4.3
Takehomes
4.3.1
If you don’t include the design elements (blocks), their portion of the variance goes to the error
4.4
Tomorrow
5
Review, organizing data and other helpful tips
5.1
Kahoot! as review
5.2
Organizing data
5.3
Homework
6
The treatment structure
6.1
Announcements
6.2
Review
6.3
Treatment structure
6.3.1
Types of treatment structures
6.4
Where is the treatment structure connected to the statistical model?
6.5
Tomorrow:
7
What you ask of a designed experiment
7.1
Announcements
7.2
Review
7.3
ANOVA
7.3.1
In case you were wondering: ANOVA and types of sums of squares
7.4
Setting the stage: Estimated marginal means aka least squares means
7.4.1
Example:
7.4.2
Discussion
7.5
Tomorrow
8
Applied examples
8.1
Announcements
8.2
Applied example for today
8.3
Tomorrow
9
Review
9.1
Announcements
9.2
Next week
10
Applied Linear Mixed Models I
10.1
Announcements
10.2
Applied Linear Mixed Models
10.2.1
Review: random variables
10.3
Review: Designs
10.4
Tomorrow
11
Applied Linear Mixed Models II
11.1
Review: Designs
11.1.1
Let’s look at the anova table
11.2
Tomorrow
12
Practice: Hierarchical (Multilevel) Designs
12.1
Review: Hierarchical Designs
12.1.1
More pictures:
12.2
R demo
12.3
Tomorrow
13
More practice: Hierarchical (Multilevel) Designs
13.1
Review: Hierarchical Designs
13.1.1
Remember our example:
13.2
Building the ANOVA skeleton using design (aka topographical) and treatment elements
13.3
R demo
13.4
Tomorrow
14
What goes in the materials and methods sections of papers
14.1
What is the purpose of a M&M section?
14.2
Fungicide x barley genotypes review
14.3
Some examples
14.4
Monday
15
Semester Project
15.1
Learning objectives
15.2
Partial deadlines
15.2.1
Project proposal - Due Friday June 20 at 2pm CT
15.2.2
Written report - Due Friday July 25 at 2pm CT
15.2.3
Oral presentation - Somewhere between July 21 - August 1
15.2.4
Practical reads
Published with bookdown
STAT 720 - Design of Experiments
Day 5
Review, organizing data and other helpful tips
June 13th, 2025
5.1
Kahoot! as review
Code on the whiteboard
5.2
Organizing data
Data Organization in Spreadsheets
Excel sheet
5.3
Homework
Homework is posted and due in a week