General 
Syllabus 
 
List of Stories of the Data sets 
 
Homeworks and Exams 
 

Some Basic Ideas and Reviews 
Introduction to ESMA 3102 
 
Introduction to Using the Computer and to R 
 
R Routines 
 
Graphs 
 
Outliers  Detection and Treatment 
 
Describing a Population: Probability Distributions 
 
Confidence Intervals 
 
Hypothesis Testing  Introduction 


Hypothesis Testing  Basics 


Methods for Univariate Data 



Exercise Problems 1 
 

Question: Is there a Relationship? 
Method 
Predictors(s) 
Response 
Categorical Data Analysis 
Categorical 
Categorical 
Oneway ANOVA  2 Sample t 
Categorical 
Quantitative 
Pearson's Correlation Coefficient 
Quantitative 
Qantitative 
Correlation vs Causation 
 
NonNormal Residuals, No Equal Variance  Transformation 
 
NonNormal Residuals, No Equal Variance  NonParametric 
 

Exercise Problems 2 
 

Question: If so, what is the Relationship? 
Oneway ANOVA 
Categorical 
Qantitative 
Simple Linear Regression 
Quantitative 
Qantitative 
Regression to the Mean 
 
Assumptions of SLR 
 
Hypothesis Tests in SLR 
 
Prediction 
 
NonNormal Residuals, No Equal Variance 
 
NonLinear Models: Transformations and Polynomials 
 
Coefficient of Determination and Overfitting 
 

Exercise Problems 3 
 

Two or More Predictors, Interaction 
Simpson's Paradox 
Categorical 
Categorical 
ANOVA 
All Categorical 
Qantitative 
Multiple Regression 
At Least One Quantitative 
Qantitative 
Multiple Regression with Dummy Variables 
Quantitative and Categorical 
Qantitative 
Using R Directly 



Exercise Problems 4 
 