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    Probability Distributions: Six Sigma Thinking, #5
    Probability Distributions: Six Sigma Thinking, #5
    Probability Distributions: Six Sigma Thinking, #5
    Ebook106 pages40 minutes

    Probability Distributions: Six Sigma Thinking, #5

    By Sumeet Savant

    ()

    Read preview

    About this ebook

    Understanding the concepts of Probability and Probability Distributions for Six Sigma, knowing how to calculate Probability, understanding the various Probability Distributions and the differences between them has never been easier!

    Have you ever wanted to calculate Probability for events of your company's processes?
    Have you ever wanted to calculate Probability for events of your customer's processes?
    Have you ever wanted to identify the right metrics to accurately measure the probability of events in processes, 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 concepts of Probability and Probability Distributions 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 have at least the basic understanding of uncertainty and probability in your business decision practices."

    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, understand and appreciate what is Probability.
    - Know, undestand, and appreciate the concepts of Experiment, Event, Sample Space, and Probability in detail.
    - Know and understand the usage of Venn Diagrams.
    - Know and understand the various types of events - Complementary, Dependent, Independent, Exclusive, Intersecting, and Conditional.
    - Know and understand the Union and Intersection of Events.
    - Know and understand the different rules of Probability - Additve, and Multiplicative among others.
    - Know, understand and appreciate the concept of Probability Distribution.
    - Know and understand the different types of Continuous Probabilities - Uniform Probability Distribution, Triangular Probability Distribution, Normal Probability Distribution, Logistic Cauchy Probability Distribution, Exponential Probability Distribution, Weibull Probability Distribution, General Extreme Probability Distribution.
    - Know and understand the different types of Discrete Probabilities - Binomial Probability Distribution, Uniform Discrete Probability Distribution, Geometric Probability Distribution, and Poisson Probability Distribution.
    - 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.
    This may very well be the last book you will ever need to learn Probability and Probability Distributions for Six Sigma and achieve overall improvements in your processes, services, and products.

    We are sure about it! And, so will you be!

    LanguageEnglish
    PublisherSumeet Savant
    Release dateAug 8, 2019
    ISBN9781393113584
    Probability Distributions: Six Sigma Thinking, #5
    Author

    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.

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      Book preview

      Probability Distributions - Sumeet Savant

      Table of Contents

      Start

      Title Page

      About the Author

      Section I: Probability

      Probability

      Experiment

      Event

      Sample Space

      Probability Defined

      Types of Events

      Venn Diagrams

      Complementary Events

      Dependent and Independent Events

      Exclusive and Intersecting Events

      Union and Intersection of Events

      Probability Rules

      Conditional Probability

      Section II: Probability Distributions

      Probability Distributions

      Types of Probability Distributions

      Types of Continuous Probability Distributions

      Types of Discrete Probability Distributions

      Uniform Probability Distribution

      Triangular Probability Distribution

      Normal Probability Distribution

      Logistic Cauchy Probability Distributions

      Exponential Probability Distribution

      Weibull Probability Distribution

      General Extreme Probability Distributions

      Binomial Probability Distribution

      Uniform Discrete Probability Distribution

      Geometric Probability Distributions

      Poisson Probability Distributions

      Authors Note

      start.png

      Probability Distributions

      Six Sigma Thinking Series

      ––––––––

      Sumeet Savant

      ––––––––

      (c)2019, Sumeet Savant

      All rights reserved

      ABOUT THE AUTHOR

      ––––––––

      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.

      Probability

      Probability

      ––––––––

      Probability is a way to measure the chance of something happening, and indicates the likelihood of an event occurring or not.

      For example, the chance of rolling 1 on a dice, or the probability of rolling an even number on a dice.

      In the first example, the event is rolling a 1, and in the second the event is rolling an even number which can

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