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MATH 204: Principles of Statistics 2
Winter 2007


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Tutorials:
  • Tuesday 13.00-14.00 (Burnside BURN 708)
  • Wednesday 14.30-15.30 (Burnside BURN 1205)
  • Office Hour for Lecturer: Monday 15.00-17.00.
  • Office Hour for TA Geva Maimon: Tuesday 14.00-15.00. 
HANDOUTS
Method of Evaluation
Syllabus

For the birthweight example:
SECTION 1: ANOVA:

SPSS Screens/Results for ANOVA: ANOVA Results
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 Data (SPSS) Data (Plain Text) Solutions 1
Assignment 2 Data (SPSS) Data (Plain Text) Solutions 2
Assignment 3 Data (SPSS) Q1 Solutions 3
                     
Data (SPSS) Q2
                     
Data (SPSS) Q3




MID-TERM
Mid-term



(to save the data, use Right Click, Save As)
EXERCISES
Exercises 1 Data (SPSS) Data (Excel)    Solutions 1  SPSS
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 : d.stephens@math.mcgill.ca