1. Stat 414 – Day 1
Introductions
Review

2. Multilevel models Multilevel data Modelling
Technical and Nontechnical communication
Applications
Software

3. Stat 414 Syllabus JMP vs. R vs. other Textbook Handouts
Homework (due date)
Labs
Practice quizzes
Office hours
Project

4. Day 1 handout
Discuss (a)-(f) with a partner

5. Statistical Modelling
General Linear Model (Data = Model + Error)
Simple linear regression
Multiple regression
t-tests
ANOVA
ANCOVA
MANOVA
MANCOVA
Factor analysis
Discriminant analysis

6. LINE assumptions for inference
(L) The mean value for Y at each level of X falls on the regression line.
(I) We’ll need to check the design of the study to determine if the errors (distances from the line) are independent of one another.
(N) At each level of X, the values for Y are normally distributed.
(E) The spread in the Y’s for each level of X is the same.

7. Discuss Example 1 with partner
Will take some speculation
Practice translating the conditions into the particular context, e.g.,
L: The mean reaction time is linearly related to decibel level of the music.
I: Stopping distances are independent. The random selection of drivers should assure independence.
N: The stopping distances for a given decibel level of music vary and are normally distributed.
E: The variation in stopping distances should be approximately the same for each decibel level of music.

8. For next time Initial survey (Mon) Readings Install JMP and/or R
Overview article
Ch. 1
Ch. 2
Install JMP and/or R
Start HW 1
Initial course survey (Monday)
Will need to remember/figure out some software steps