Topics Covered
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Topic

Coverage
Correlation

 

Pearson's r
Spearman's r
Kendall's t

 

S
0
0
Simple Linear Regression

 

Algebraic Approach
Matrix Algebra Approach

 

T
T
Matrix Algebra

I
Multiple Regression

 

Matrix Approach
Analysis of Residuals
R2 and Adjusted R2
Polynomial Regression
Weighted Least Squares
Variable Selection Techniques
          Stepwise Regression
          All possible regressions
Influence Diagnostics
Multicollinearity
Dummy (Qualitative) Variables
Ridge Regression
Time Series & Autocorrelation

 

T
T
I
I
I

T
T
T
T
T
0
S
Analysis of Variance (ANOVA)

 

One-Way
Linear Contrasts among Means
Post Hoc Comparisons Procedures
          Scheffé
          Tukey
          Bonferroni
          Fisher's LSD
Two-Way
          Interactions
          Type I, II, III, IV Sums of Squares
          Effect of unbalanced designs
Multifactor
Random Effects
Tests for Equality of Variances

 

T
T

I
I
I
I

T
T
T
I
I
T
Power Analysis
Sample Size Requirements

S
I
General Linear Model (GLM)

I
Analysis of Covariance (ANCOVA)

I
Logistic Regression

I
Nonlinear Regression

S
Experimental Designs

 

Randomized Block Designs
Nested Designs
Split Plot Designs

 

I
S/I
0
Repeated Measures Designs

I
Computer Packages

 

SAS
JMP
SPSS

 

T
0
0
Assessing Normality

 

Normal Probability Plots
Tests for Normality

 

S/I
S/I

 

0        No Coverage

S        Slight Coverage

I        Intermediate Coverage

T        Thorough Coverage