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Introduction to Statistical Analysis: Hypothesis Testing
  • Level Professional
  • Duration 10 hours
  • Course by SAS
  • Offered by

About

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

Modules

Welcome

    • 2 Videos
    • 1 Readings
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2 Videos

  • Welcome and Meet the Instructor
  • Demo: Exploring Ames Housing Data

1 Readings

  • Learner Prerequisites

Course Logistics and Data Setup - Required

    • 4 Readings
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4 Readings

  • 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

Introduction

    • 1 Videos
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1 Videos

  • Overview

Statistical Modeling Overview

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Question 1.01

3 Videos

  • Statistical Modeling: Types of Variables
  • Overview of Models
  • Explanatory versus Predictive Modeling

Quick Review of Statistical Concepts

    • 6 Videos
    • 2 Readings
    • 2 Assignment
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2 Assignment

  • Question 1.02
  • Question 1.03

6 Videos

  • 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

2 Readings

  • Parameters and Statistics
  • Normal Distribution

One-Sample t Tests

    • 3 Videos
    • 3 Assignment
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3 Assignment

  • Question 1.04
  • Question 1.05
  • Practice - Using PROC TTEST to Perform a One-Sample t Test

3 Videos

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

Two-Sample t Tests

    • 4 Videos
    • 2 Assignment
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2 Assignment

  • Question 1.06
  • Practice - Using PROC TTEST to Compare Groups

4 Videos

  • Scenario
  • Assumptions for the Two-Sample t Test
  • Testing for Equal and Unequal Variances
  • Demo: Performing a Two-Sample t Test Using PROC TTEST

Review

    • 1 Assignment
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1 Assignment

  • Introduction and Review of Concepts

Introduction

    • 1 Videos
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1 Videos

  • Overview

Graphical Analysis of Associations

    • 5 Videos
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5 Videos

  • 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

One-Way ANOVA

    • 7 Videos
    • 1 Readings
    • 5 Assignment
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5 Assignment

  • Question 2.01
  • Question 2.02
  • Question 2.03
  • Question 2.04
  • Practice - Performing a One-Way ANOVA

7 Videos

  • 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

1 Readings

  • What Does a CLASS Statement Do?

ANOVA Post Hoc Tests

    • 5 Videos
    • 3 Assignment
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3 Assignment

  • Question 2.05
  • Question 2.06
  • Practice - Using PROC GLM to Perform Post Hoc Parwise Comparisons

5 Videos

  • 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

Pearson Correlation

    • 5 Videos
    • 1 Readings
    • 3 Assignment
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3 Assignment

  • Question 2.07
  • Question 2.08
  • Practice - Describing the Relationship between Continuous Variables

5 Videos

  • 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

1 Readings

  • Correlation Analysis and Model Building

Simple Linear Regression

    • 6 Videos
    • 2 Assignment
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2 Assignment

  • Question 2.09
  • Practice - Using PROC REG to Fit a Simple Linear Regression Model

6 Videos

  • 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

Review

    • 1 Assignment
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1 Assignment

  • ANOVA and Regression

Introduction

    • 1 Videos
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1 Videos

  • Overview

Two-Way ANOVA and Interactions

    • 6 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Question 3.01
  • Practice - Performing a Two-Way ANOVA Using PROC GLM

6 Videos

  • 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

1 Readings

  • The STORE Statement

Multiple Regression

    • 6 Videos
    • 2 Assignment
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2 Assignment

  • Question 3.02
  • Practice - Performing Multiple Regression Using PROC REG

6 Videos

  • 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

Review

    • 1 Assignment
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1 Assignment

  • More Complex Linear Models

Auto Summary

This professional-level course, "Introduction to Statistical Analysis: Hypothesis Testing," offered by Coursera, is tailored for SAS software users engaged in statistical analysis using SAS/STAT. The course delves into t-tests, ANOVA, linear regression, and provides a brief overview of logistic regression. With a duration of 600 minutes, it is part of the Starter subscription and is perfect for individuals looking to enhance their big data and analytics skills.

Jordan Bakerman
Instructor

Jordan Bakerman