Customers - News - Partners - Downloads - Coaching - Links - Profile
Balanced Scorecard - EFQM - Customer Experience - IIP / HR Scorecard
Change Management - Benefits Management - Project Management
Business Process Management - Lean Six Sigma - Business Transformation - Supply Chain Management - Activity Based Costing - Lean
Business Transformation (Training and Coaching)
 
Home About Us Strategy Change Process People Books Contact Us Downloads Site Map Links
Statistics for Quality Improvement
Objectives l Course Content l Who should attend? l Follow on Courses
Introduction

Statistics is not everybody’s favourite subject but an understanding of the key principles is key to understanding, measuring and analysing the causes of variation. This understanding applies equally to process, product and service quality. This programme is aimed at providing that understanding and is a compulsory part of our Six Sigma Black Belt programme.

The approach of the course is for delegates to gain an understanding of how the statistics work and why rather than a detailed knowledge of what software “buttons” without understanding the implications. However, we will use the industry standard Minitab 14 software throughout the course to speed up the calculation process.

“I often say that when you can measure what you are speaking about and express it in numbers you know something about it, but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind.”


Lord Kelvin

Objectives

This three day course which includes a number of exercises and a final examination will enable delegates to understand:

 

How statistics helps you understand, measure and analyse the variability in products and services.

The principles of probability distributions, how and when they apply.

Sampling principles and techniques

Confidence intervals and a variety of Hypothesis testing techniques.

Correlation and Regression analysis

Analysis of Variance (ANOVA) techniques and their application.


Course Content

Day One

Day Two

Day Three

Introduction to statistics and variability

Probability distributions

Discrete

Continuous

Plots & Transformations

Sampling

Types and terminology

Techniques

Stratification & Random sampling

Determining sample size

Confidence intervals for

Means

Proportions

Variance

Hypothesis testing

One and Two tailed tests

Type I and II errors

Z and t tests

Tests of proportions

Tests of variance

Correlation Analysis

Scatter plots

Correlation matrix

Regression analysis

Linear regression

Multiple regression

Model validation

Qualitative variables

Curvilinear

Analysis of Variance (ANOVA)

One way

Two way

Nested

Plots

Course Examination

Who should attend?

The course is for Six Sigma Green Belts (a mandatory prerequisite) who wish to develop their skills and knowledge and progress to a Black Belt level. Delegates will also need to complete a number of other modules in order to gain their Six Sigma Black Belt.

Follow on courses

The Six Sigma Black Belt programme consists of nine modules of which this is a mandatory component as is the completion of two documented Six Sigma projects. The delegate has a level of choice of which of the other seven modules will be of most benefit to them and their organisation, see the Six Sigma Black Belt course overview.


Back to top


Home | About Us | Change | Process | People | Books | Contact Us | Downloads | Site Map | Links
Copyright © 2005 Denis Mahoney/Business Transformation (Training and Coaching)
Software Development & Web Design Company: Blue D.Zine
You are visiter NO. free web counter