Statistical Consulting Group
San Diego State University
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Stat 795
Services
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Tutorials
Hypothesis Testing
Power and Sample Size
Calculators
Normal Data Calc
Proportions
Two Sample Normal
Two Sample Proportions
Survival
Normal Data
Proportions
Two-sample Tests
Linear Regression
Simple Linear Regression
Simple Linear Regression (R)
Simple Linear Regression (SAS)
Multiple Linear Regression
Multiple Linear Regression (R)
Multiple Linear Regression (SAS)
Logistic Regression
Logistic Regression (R)
Model Selection Schema
Data Mining and Machine Learning
Classification Systems
Decision Trees
Classification Trees (R)
Artificial Neural Network
Neural Networks (R)
Bagging
Random Forests (R)
Applied R
R Environment
R – Variables
R – Loops
R – Functions
Dataset: Adult (R)
Pretty Graphs with ggplot2 (R)
Rstudio, Sweave, and LaTeX
Applied SAS
Proc SQL – SAS
Data Processing in SAS
Tutorial Papers Library (SAS)
Data Sources
Applied Python
This page will contain the links to applied statistical methods in python.
