Statistical Thinking and Problem Solving

Statistical thinking is vital for solving real-world problems. At the heart of statistical thinking is making decisions based on data. This requires disciplined approaches to identifying problems and the ability to quantify and interpret the variation that you observe in your data.

In this module, you will learn how to clearly define your problem and gain an understanding of the underlying processes that you will improve. You will learn techniques for identifying potential root causes of the problem. Finally, you will learn about different types of data and different approaches to data collection.

Estimated time to complete this module: 2 to 3 hours

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https://share.vidyard.com/watch/G8x5gwWRGEMuBEB2zEJxNP

Specific topics covered in this module include:

Statistical Thinking

What is Statistical Thinking

Problem Solving

Overview of Problem Solving
Statistical Problem Solving
Types of Problems

Defining the Problem

Defining the Problem
Goals and Key Performance Indicators
The White Polymer Case Study

Defining the Process

What is a Process?
Developing a SIPOC Map
Developing an Input/Output Process Map
Top-Down and Deployment Flowcharts

Identifying Potential Root Causes

Tools for Identifying Potential Causes
Brainstorming
Multi-voting
Using Affinity Diagrams
Cause-and-Effect Diagrams
The Five Whys
Cause-and-Effect Matrices

Compiling and Collecting Data

Data Collection for Problem Solving
Types of Data
Operational Definitions
Data Collection Strategies
Importing Data for Analysis