Statistical Thinking for Industrial Problem Solving
A free online statistics course.
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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
Statistical Thinking and Problem Solving Overview (0:36)
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
- 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
IMAGES
VIDEO
COMMENTS
In virtually every field, deriving insights from data is central to problem solving, innovation and growth. But without an understanding of which approaches to use, and how to interpret and communicate results, the best opportunities will remain undiscovered. That’s why we created Statistical Thinking for Industrial Problem Solving (STIPS).
It addresses the Statistical Thinking for Industrial Problem Solving certification exam content areas and tasks. This 25- to 30-hour e-learning course blends mini-lectures, case studies, demos, practices, and quizzes to provide an applied and interactive learning experience. Topics are grouped into seven stand-alone modules, and each module ...
STIPS Module 1: Statistical Thinking and Problem Solving. Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ... ruthhummel. Statistical Thinking for Industrial 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 ...
Started 09-18-2023. Modified 03-28-2024. View Fullscreen. Statistical Thinking for Industrial Problem Solving is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules, totaling about 30 hours of self-paced learning.
There are 10 modules in this course. Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 1 covers mapping a problem, defining and scoping your project, and determining the data you need to solve your ...
In virtually every field, deriving insights from data is central to problem solving, innovation and growth. Without an understanding of which approaches to use, and how to interpret and communicate results, the best opportunities will remain undiscovered. That’s why we created Statistical Thinking for Industrial Problem Solving. This online ...
After completing all of the modules, you will have the option to obtain a formal certification in Statistical Thinking for Industrial Problem Solving. This performance-based certification can be used to demonstrate your mastery of this area to your institution, employer or potential employer, and is part of a larger JMP certification program.
Statistical Thinking for Industrial Problem Solving. Developed with industrial practitioners and academics from around the world, this online, self-paced course is available – for free – to anyone interested in building practical skills in using data to solve problems better. JMP software is provided, and there is an optional certification for