SAS Institute Of Management Studies - Introduction to Statistical Analysis: Hypothesis Testing 

Welcome and Meet the Instructor

Demo: Exploring Ames Housing Data

Learner Prerequisites

Access SAS Software for this Course

Follow These Instructions to Set Up Data for This Course (REQUIRED)

Completing Demos and Practices

Using Forums and Getting Help

Overview

Statistical Modeling: Types of Variables

Overview of Models

Explanatory versus Predictive Modeling

Population Parameters and Sample Statistics

Normal (Gaussian) Distribution

Standard Error of the Mean

Confidence Intervals

Statistical Hypothesis Test

p-Value: Effect Size and Sample Size Influence

Scenario

Performing a t Test

Demo: Performing a One-Sample t Test Using PROC TTEST

Scenario

Assumptions for the Two-Sample t Test

Testing for Equal and Unequal Variances

Demo: Performing a Two-Sample t Test Using PROC TTEST

Parameters and Statistics

Normal Distribution

Question 1.01

Question 1.02

Question 1.03

Question 1.04

Question 1.05

Practice - Using PROC TTEST to Perform a One-Sample t Test

Question 1.06

Practice - Using PROC TTEST to Compare Groups

Introduction and Review of Concepts

Overview

Scenario

Identifying Associations in ANOVA with Box Plots

Demo: Exploring Associations Using PROC SGPLOT

Identifying Associations in Linear Regression with Scatter Plots

Demo: Exploring Associations Using PROC SGSCATTER

Scenario

The ANOVA Hypothesis

Partitioning Variability in ANOVA

Coefficient of Determination

F Statistic and Critical Values

The ANOVA Model

Demo: Performing a One-Way ANOVA Using PROC GLM

Scenario

Multiple Comparison Methods

Tukey's and Dunnett's Multiple Comparison Methods

Diffograms and Control Plots

Demo: Performing a Post Hoc Pairwise Comparison Using PROC GLM

Scenario

Using Correlation to Measure Relationships between Continuous Variables

Hypothesis Testing for a Correlation

Avoiding Common Errors When Interpreting Correlations

Demo: Producing Correlation Statistics and Scatter Plots Using PROC CORR

Scenario

The Simple Linear Regression Model

How SAS Performs Simple Linear Regression

Comparing the Regression Model to a Baseline Model

Hypothesis Testing and Assumptions for Linear Regression

Demo: Performing Simple Linear Regression Using PROC REG

What Does a CLASS Statement Do?

Correlation Analysis and Model Building

Question 2.01

Question 2.02

Question 2.03

Question 2.04

Practice - Performing a One-Way ANOVA

Question 2.05

Question 2.06

Practice - Using PROC GLM to Perform Post Hoc Parwise Comparisons

Question 2.07

Question 2.08

Practice - Describing the Relationship between Continuous Variables

Question 2.09

Practice - Using PROC REG to Fit a Simple Linear Regression Model

ANOVA and Regression

Overview

Scenario

Applying the Two-Way ANOVA Model

Demo: Performing a Two-Way ANOVA Using PROC GLM

Interactions

Demo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM

Demo: Performing Post-Processing Analysis Using PROC PLM

Scenario

The Multiple Linear Regression Model

Hypothesis Testing for Multiple Regression

Multiple Linear Regression versus Simple Linear Regression

Adjusted R-Square

Demo: Fitting a Multiple Linear Regression Model Using PROC REG

The STORE Statement

Question 3.01

Practice - Performing a Two-Way ANOVA Using PROC GLM

Question 3.02

Practice - Performing Multiple Regression Using PROC REG

More Complex Linear Models