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MATH 204: Principles of Statistics 2
Winter 2008


  • Tutorial times: 
    • Wed 2:30-3:30 BURNSIDE 920 
    • Thur 12:30-1:30 BURNSIDE 1214.
  • Office Hour for Lecturer: Monday 15.00-17.00.
  • Office Hour for TA Geva Maimon: Wed 3:30-4:30. 
HANDOUTS
Syllabus and Method of Evaluation

INTRODUCTION:

For the birthweight example:
SECTION 1: ANOVA:

Understanding the ANOVA F-statistic
Using the Fisher-F Tables

SPSS Screens/Results for ANOVA EXAMPLES: ANOVA Results for the PTSD Example


We are here : 18th January 2008;


To follow shortly ....
Multiple Comparisons in SPSS Screens Output
Randomized Block ANOVA in SPSS Screens Output
RDB with replication ANOVA in SPSS Screens
FD with replication ANOVA in SPSS Results


SECTION 2: Regression and the General Linear Model:

Simple Linear Regression in SPSS Screens
Blood viscosity vs PCV Plot
Blood viscosity vs PCV Plot with prediction intervals

Yule's (1926) paper on "nonsense correlations"

Linear Regression Examples
Linear Regression in SPSS - Results

Multiple Regression Example - Viscosity Data
Multiple Regression Example - Viscosity Data: SPSS Screens
Factor Regression Example: Binary Factor Plots
Factor Regression Example: Diabetes Data
Factor Regression Model Formulation and Diabetes Data
Factor Regression Example: - Diabetes Data: SPSS Screens

Factor Regression via Dummy Variables

Stepwise Selection in the General Linear Model
Annotated ANOVA for the Diabetes Data
Stepwise Selection in Potato and Task Distraction Data

Issues and Pitfalls of Regression Modelling


SECTION 3: Non-parametric Statistics

Categorical Data Examples
Chi-squared test for Categorical Data Screens
Non-parametric one and two sample tests.
Non-parametric one and two sample tests - EXAMPLES

Two dependent and three or more independent samples

Spearman's Rank Correlation Coefficient

The Role of Randomization Distribution Free Tests





ASSIGNMENTS
Assignment 1 Solutions 1 (to follow) HormoneSteroid.sav
                                                        HormoneSteroid.txt

Assignment 2 Solutions 2 (to follow)
Assignment 3 Solutions 3 (to follow)
                     



(to save the data in Windows, use Right Click, Save As)

MID-TERM
Mid-term


EXERCISES
Exercises 1 Data (SPSS) Data (Excel)    Solutions 1  SPSS



To follow:

Exercises 2 Data (SPSS)                       Solutions 2
Exercises 3 Data (SPSS)                       Solutions 3
Exercises 4 Data (SPSS) Data (txt)        Solutions 4
Exercises 5 Oysters data (SPSS)           Solutions 5
                  Oranges data (SPSS)
                  Cotton data (SPSS)
                  Doses data (SPSS)







DATA SETS
Birthweight Data(SPSS) Analysis
SECTION 1: ANOVA:

SECTION 2: Regression and the General Linear Model:
SECTION 3: Non-parametric Statistics







 Lecture Calendar


 


Contact Details:

Professor David A. Stephens

Room 1235, Burnside Hall
Department of Mathematics and Statistics
McGill University


Phone: 514-398-2005
Fax: 514-398-3899
E-mail : 
David Stephens
Links:

Research
Teaching
Home Page
Mathematics and Statistics
McGill University