In this module, we’ll discuss the following various statistical approached utilized in Six Sigma.

## 1. The Purpose of Basic Statistics

The purpose for statistics in Six Sigma are the following:

- Provide a numerical summary of the data being analyzed.
- Provide the basis for making inferences about the future.
- Provide the foundation for assessing process capability.
- Provide a common language to be used throughout the organization.

Statistics is the basic language of Six Sigma. A good understanding of statistics is the foundation upon which many of the subsequent tools will be used.

### 1.2 Statistical Notation Cheat Sheet

Don’t bother memorizing any of this, but refer to this as needed.

### 1.3. Parameters vs Statistics

Let’s go through a few definitions, with the help of the chart below:

- Population: All the items that have the “property of interest” under study.
- Frame: An identifiable subset of the population.
- Sample: A significantly smaller subset of the population used to make an inference.

### 1.4. Purpose of Sampling

To get a sufficiently accurate inference for considerably less time, money, and other resources, and also to provide a basis for statistical inference; if sampling is done well, and sufficiently, then the inference is that what we see in the sample is representative of the population

A population parameter is a numerical value that summarizes the data for an entire population, a sample has a corresponding numerical value called a statistic.

The population is a collection of all the individuals of interest. It must be defined carefully, such as all the trades completed in 2001. If for some reason there are unique subsets of trades it may be appropriate to define those as a unique population, such as, all sub custodial market trades completed in 2001, or emerging market trades.

Sampling frames are complete lists and should be identical to a population with every element listed only once. It sounds very similar to population, and it is. The difference is how it is used. A sampling frame, such as the list of registered voters could be used to represent the population of adult general public. Maybe there are reasons why this wouldn’t be a good sampling frame. Perhaps a sampling frame of licensed drivers would be a better frame to represent the general public.

The sampling frame is the source for a sample to be drawn.

It is important to recognize the difference between a sample and a population because we typically are dealing with a sample of the what the potential population could be in order to make an inference. The formulas for describing samples and populations are slightly different. In most cases we will be dealing with the formulas for samples.

## 2. Types of Data

The nature of data is important to understand. As we discussed in the video Data Types in Six Sigma, knowing the data type gives you the option to utilize different analysis.

### 2.1. Attribute Data (Qualitative)

Attribute data is always binary – only two possible values.

- Yes/No
- Go/No Go
- Pass/Fail

### 2.2. Variable Data (Quantitative)

Discrete Data is data that can be counted, categorized, and classified based on counts. For example:

- Number of Defects
- Number of Defective Units
- Number of Customer Returns

Continuous Data is data that can be measured on a continuum. It has decimal subdivisions, for example:

- Time, pressure, conveyor speed, material feed rate
- Money

Here are several real-world examples that may help you:

### 2.3. Scaled Data

Knowing how to represent data can affect the types of statistical tests available to you. Here are a few scales to keep in mind:

**Nominal Scale:**Data consists of names, labels, or categories. These cannot be arranged in an ordering scheme and no arithmetic operations are performed on this type of data.**Ordinal Scale:**Data is arranged in some order, but differences between data values either cannot be determined or are not meaningful.**Interval Scale:**data can be arranged in some order and for which differences in data values are meaningful. The data can be arranged in an ordering scheme and differences can be interpreted.**Ratio Scale:**data that can be ranked and for which all arithmetic operations including division can be performed. (division by zero is of course excluded) Ratio level data has an absolute zero and a value of zero indicates a complete absence of the characteristic of interest.

Now let’s go through several examples of scaled data.

At this point, I recommend you review the section on Distributions in Six Sigma to give you a better idea of how data can look given the data type you have.

In the next section, we’ll introduce you to Z-Values.

Blog Article | Excel | PowerPoint | Video |

Module | Description | Type | |

Overview |
## What is Six SigmaThe various definitions of Six Sigma is explained in this 5:42 video. We specifically discuss 6 definitions of "Sigma", ending with the most relevant definition which is related to the DMAIC Method of Problem Solving. |
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Overview |
## The DMAIC FrameworkIn this 4:17 video, we explain the DMAIC framework and give an introduction to each phase in DMAIC. We specifically show the storyboard for each phase in the DMAIC framework. |
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Overview |
## DMAIC versus PDCAArticle describes how PDCA is used in Lean and the similarities and common history between PDCA and DMAIC. |
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Overview |
## History of Six Sigma and LeanIn this video, we go through the various contributors of Six Sigma, their contribution, and why it's important in the practice of modern Six Sigma. We also go into the history of the Toyota Production System and how the term "lean" was coined. Video is 7:36 long. |
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Overview |
## Lean History and TimelineThis article shows a comprehensive history and timeline of Lean and of continuous improvement beginning in the 1600's. |
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Overview |
## Black Belt CertificationIn this article, we provide various resources where you may take the Black Belt exam should you choose to do so. We also discuss the positive and negative of Black Belt certification. |
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DEFINE |
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Define |
## The Define Phase StoryboardWe introduce the Define Phase and show the Define Storyboard, a high level map of what the phase is about and the expected outputs. Video length is 3:50. |
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Define |
## Business Needs AssessmentIn this video, we discuss how to identify business needs of an organization and how to take that knowledge and transform it into a formal DMAIC project that will get the backing and support from top management. Video length is 6:46. |
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Define |
## Project CharterIn this 5:37 minute video, we explain the role of the project charter and its importance in Six Sigma DMAIC projects. Video length is 5:37. |
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Define |
## Project Selection MatrixIn this short 2:51 minute video, we learn a simple and effective method for prioritizing between competing priorities. This method is important for the selection of an improvement project. |
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Define |
## Problem StatementArticulating the problem well gets you much closer to a solution. In this video, we show you how along with several real world examples of effective problem statements. Video length is 5:42. |
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Define |
## Stakeholder AnalysisIdentifying stakeholders and their needs is one of the most important steps in Define. This is especially crucial if there are any influential stakeholders that are resistant to your message. Video length is 2:47. |
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Define |
## Affinity DiagramAffinity Diagram is a tried and true method for brainstorming and coming up with ideas. Learn how to apply this technique in this video. Video length is 4:25. |
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Define |
## SIPOCIdentifying the key spots where measurements can be taken in crucial. This video will show you how to do it. Video length is 3:01. |
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Define |
## Voice of the Customer and CTQIn this video spanning 5:11, we explain Voice of the Customer and how Six Sigma is rooted in the customer. We explain how to translate Voice of the Customer into Critical to Quality Metrics. |
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Define |
## Critical to Quality TreeArticle explaining the critical to quality tree, with examples, and a template to download so you can create your own for your six sigma projects. |
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Define |
## Value Stream MapIn this 4:42 video, you will learn understand the value stream map symbols and learn how to design your own value stream map. We provide a zip file of VSM Symbols for you to download. |
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Define |
## Kano ModelWe explain the Kano Model to identify service and product characteristics that should be "satisfiers" and the ones that be "good enough" and don't need to go any further. |
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MEASURE |
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Measure |
## The Measure Phase StoryboardWe introduce the Measure Phase and show the Measure Storyboard, a high level map of what the phase is about and the expected outputs. |
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Measure |
## Data Types in Six SigmaIn this article we explain the various types of data, how they're different, and what they tell us about process behavior. We will also learn how to collect data. Video length is 5:24. |
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Measure |
## Descriptive StatisticsIn this module we learn various data measures that tell us key characteristics of a data set. We also begin the foundation for our discussion on distributions in a later module. |
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Measure |
## DistributionsThis is a brief introduction to statistical distributions and what inferences we can draw from them. |
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Measure |
## Graphical Representation of DataGraphically representing data effectively is required to effectively communicate meaning. In this module we learn various graphical methods and how to do them. |
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Measure |
## 7 Quality ToolsWe briefly introduce each of the 7 quality tools. We follow this video several videos where we focus on the detailed of each of the 7 quality tools. Video length is 4:46. |
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Measure |
## Check SheetsIn this HD video, we explain the checksheet, what it is used for, see various examples of checksheets, how to create one, and be able to download a checksheet template from the Shmula content library. Video length is 3:53. |
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Measure |
## Pareto ChartIn this 4:48 minute video, you will learn the history of the Pareto Principle, why it's important, and how to apply the Pareto Principle in your lean and six sigma efforts using excel. |
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Measure |
## HistogramThis video on the Histogram explains what it is, when to use it, and how to use it. Video length is 3:01. |
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Measure |
## Scatter PlotIn this 4:27 short video, we introduce the Scatterplot, what it is, why use it, and how it can be helpful in your six sigma projects. |
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Measure |
## Cause and Effect DiagramThis 5:21 minute video explains the cause and effect diagram - what it is, when to use it, and how to create one. |
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Measure |
## Control ChartIn this video, we introduce you to the control chart - what it is, where to use it, when to use it, and how it's used. Video length is 7:05. |
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Measure |
## Run ChartIn Progress |
In Progress | |

Measure |
## Process Cycle EfficiencyProcess Cycle Efficiency is a more modern tool that looks at processes from the perspective of value and waste. We show you how to do it and why it's important. |
In Progress | |

Measure |
## FMEAFailure Mode Effects Analysis is a tried and true method and technique for quickly identifying ways where process problems can occur and how to quickly mitigate them. Video length is 4:45. |
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Measure |
## Basic StatisticsIn this article, we go in depth to explain basic data types, scales, and the language of six sigma. |
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Measure |
## Using Z ValuesWe learn about Z Values or the Z Score with applications in Six Sigma projects. |
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Measure |
## Sample Size CalculationsIn this module we learn the underpinnings of sample size calculations and how they are used in six sigma. We provide a sample size calculator in the template section also. |
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Measure |
## Introduction to VariationThis article introduces the learner to the concept of variation and how it impacts the customer experience. |
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Measure |
## Red Bead Experiment Part 1Introduction to red bead experiment. |
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Measure |
## Red Bead Experiment Part 2In part 2, we actually do a quick run through the experiment. |
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Measure |
## Red Bead Experiment Part 3In this video, we explain and go through more runs of the experiment. |
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Measure |
## Red Bead Experiment Part 4In this video we continue our experiment and go through some of Dr. Deming's most famous quotes. |
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Measure |
## Red Bead Experiment Part 5Continuing the experiment, with a focus on how to best facilitate an event. |
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Measure |
## Red Bead Experiment Part 6In this last video in the series, we go through the key lessons learned from Deming's famous experiment on variation. |
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Measure |
## Measurement System AnalysisIn this video we discuss variation and how it impacts our methods of measuring. Video length is 5:28 and we show examples along with tips on how to deal with bad metrology. Video length is 5:28. |
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Measure |
## Gauge R&RIn this video we explain the Gauge R&R Test and provide various examples of where and how it may be applied in industry. |
In Progress | |

ANALYZE |
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Analyze |
## The Analyze Phase StoryboardWe introduce the Analyze Phase and show the Analyze Storyboard, a high level map of what the phase is about and the expected outputs. |
In Progress | |

Analyze |
## BrainstormingWe introduce various methods of brainstorming. Some conventional and some not very and more modern. Some of these methods are taken from Design Thinking and have been found to be very effective in identifying innovative and simple solutions to problems. |
In Progress | |

Analyze |
## 5 Whys and Fishbone DiagramIn this video we explain the 5 Why exercise and show many examples. We extend the 5 Whys and show how it naturally leads to the Fishbone Diagram. |
In Progress | |

Analyze |
## Verifying Root CausesWe introduce hypothesis testing and various methods for doing so including the Regression, T Test, Chi Square, and ANOVA. |
In Progress | |

Analyze |
## Hypothesis TestingIn Progress |
In Progress | |

Analyze |
## RegressionIn Progress |
In Progress | |

Analyze |
## T TestIn Progress |
In Progress | |

Analyze |
## Chi SquareIn Progress |
In Progress | |

Analyze |
## ANOVAIn Progress |
In Progress | |

IMPROVE |
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Improve |
## The Improve Phase StoryboardWe introduce the Improve Phase and show the Improve Storyboard, a high level map of what the phase is about and the expected outputs. |
In Progress | |

Improve |
## Change ManagementWe introduce you to several change management models that have been found to effective in practice. We show what they are, how to do them. |
In Progress | |

Improve |
## Solution Selection MatrixThe Solution Selection Matrix is a simple tool that helps a team vote and decide on which solution makes the most sense to put resources behind in improvement projects. |
In Progress | |

Improve |
## Process CapabilityWe discuss process capability and how it's different from a process not in control. We discuss its importance. |
In Progress | |

Improve |
## Cost / Benefit AnalysisWe introduce the concept of Cost and Benefit Analysis and provide several ways at showing cost savings from Six Sigma Projects. |
In Progress | |

Improve |
## Poka YokeAs part of the Improve Phase, we introduce the concept of Poka Yoke, or error proofing, as a way to prevent defects before they even occur. We show may examples and teach the principles behind Poka Yoke. |
In Progress | |

CONTROL |
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Control |
## The Control Phase StoryboardWe introduce the Control Phase and show the Control Storyboard, a high level map of what the phase is about and the expected outputs. |
N/AN/A | |

Control |
## Before / After ParetoWe show ways to visually see before and after results of your project. |
In Progress | |

Control |
## Standard Pig GameIn this 4:55 minute video, we show you a simple and effective game that teaches the importance of Standard Work. This video should be watched prior to the video on Standard Work. |
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Control |
## Standard WorkStandard Work is a foundation of Lean and Six Sigma. In this 5:36 minute video we explain Standard Work and show its role in continuous improvement. |
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Control |
## Control ChartsWe discuss the various control charts, why they're important, and how to create them given your process and given your data type. |
In Progress |

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