Descriptive Statistics: Six Sigma Thinking, #3

By Sumeet Savant

Understanding Descriptive Statistics for Six Sigma, knowing how to perform Descriptive Statistics, selecting the right Descriptive Statistics tools, and understanding the differences between them has never been easier!

Have you ever wanted to perform Descriptive Statistics for your company's processes?

Have you ever wanted to perform Descriptive Statistics for your customer's processes?

Have you ever wanted to identify the right Descriptive Statistics Tools to effective measure the reductions in process variations, and increase in process capabilities in your company?

If the answer to any of these questions is yes, you need look no further.

Lean Six Sigma Master Black Belt Mentor and Coach, Sumeet Savant, with more than a decade of experience in executing, leading, and mentoring hundreds of Lean Six Sigma improvement projects brings to you a simple, straight forward, no nonsense book which will enable you understand the Descriptive Statistics process, understand the four critical measures of Descriptive Statistics i.e. the Central Tendency, the Variability, the Modality, and the Symmetry of Data, and achieve the process improvements you have always dreamt of, quickly, effectively, and efficiently.

He shares his belief: "For process improvements to be considered successful, you need to be able to correctly describe the data and convert it into contextual, meaningful, and useful information and this is possible only when you have the right knowledge on Descriptive Statistics"

Do Act Now and have a LOOK INSIDE the short book to have a brief experience of the immensely valuable information it has in store for you.

With this book, you will get to,

- Know what is Data, Statistics and Descriptive Statistics.

- Know, undestand, and appreciate the relation between Data, Information, and Describing Data Statistically.

- Know and understand the critical four measures of Descriptive Statistics essential for Six Sigma projects i.e. the Central Tendency, Variability, Modality, and Symmetry of Data.

- Know and understand the sub elements of Central Tendency i.e. Arithmetic Mean, Geometric Mean, Harmonic Mean, Median and Mode.

- Know and understand the sub elements of Variability i.e. Range, Inter Quartile Range, Variance, and Standard Deviation

- Know and understand the types of Modality i.e. Unimodal, Bimodal, Multimodal, and Uniform.

- Know and understand the sub elements of Symmetry i.e. Kurtosis and Skewness.

- And know all these and much more in the least number of words possible – to help you improve your processes and reduce process variations faster.

- And Bonus! Get more than 10 relevant and easy to understand case studies to understand Descriptive Statistics better!

This may very well be the last book you will ever need to learn Descriptive Statistics for Six Sigma and achieve overall improvements in your processes, services, and products.

• Language: English
• Publisher: Sumeet Savant
• Release date: May 30, 2019
• ISBN: 9781393786085

Sumeet Savant

Sumeet Savant is a Lean Six Sigma Master Black Belt Mentor and coach, with more than a decade of experience in executing, leading and mentoring Lean Six Sigma process improvement projects. He is a BTech, MBA, and Prince certified Practitioner. He has facilitated hundreds of process improvement projects, and coached hundreds of professionals, White, Yellow, Green, and Black Belts over the years. He lives in Mumbai, India with his family.

Book preview

Table of Contents

Start

Title Page

About the Author

Section I: Descriptive Statistics

Data

Information

Statistics

Population vs Sample

Types of Statistics

Descriptive Statistics

Measures of Central Tendency

Measures of Variability

Measures of Modality

Measures of Symmetry

Section II: Central Tendency

Mean

Arithmetic Mean

Geometric Mean

Harmonic Mean

Population Mean

Sample Mean

Trimmed Mean

Effectiveness of Mean with Outliers

Median

Mode

Section III: Variability

Minimum and Maximum

Range

Percentile

Quartile

1st Quartile

2nd Quartile

3rd Quartile

Relation between Percentile, Quartile, and Median

Inter Quartile Range

Variance

Variance of Population

Variance of Sample

Standard Deviation

Coefficient of Variation

Sum of Squares

Standard Error of Mean

MSSD

Section IV: Modality

Unimodal

Bimodal

Multimodal

Uniform

Section V: Symmetry

Kurtosis

Skewness

Section VI: Six Sigma Case Studies

Case Study: Data

Case Study: Mean

Case Study: Median

Case Study: Mode

Case Study: Range

Case Study: Quartiles

Case Study: Inter Quartile Range

Case Study: Variance

Case Study: Standard Deviation

Case Study: Modality

Case Study: Kurtosis and Skewness

Authors Note

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Descriptive Statistics

Six Sigma Thinking Series

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Sumeet Savant

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(c)2019, Sumeet Savant

All rights reserved

ABOUT THE AUTHOR

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Sumeet Savant is a Lean Six Sigma Master Black Belt Mentor and coach, with more than a decade of experience in executing, leading and mentoring Lean Six Sigma process improvement projects. He is a BTech, MBA, and Prince certified Practitioner. He has facilitated hundreds of process improvement projects, and coached hundreds of professionals, Yellow, Green, and Black Belts over the years. He lives in Mumbai, India with his family.

Descriptive Statistics

Data

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Data is the crucial determining ingredient behind the success of your analysis, research, and study, including your process improvement projects.

So, before we start, let us understand what the term Data really means.

Formally defined, Data is characters, symbols and quantities which are known or assumed as facts that is measured, collected, and analyzed to act as the basis for logical reasoning, calculations, or decisions.

Lean, as we know focuses on