Six Sigma Black Belt: Probability

Six Sigma Black Belt    |    Intermediate
  • 10 videos | 1h 25m 13s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
  • Certification PMI PDU
Organizations need to make inferences about a population from sample data, and understanding how to calculate the probability that an event will occur is crucial to making those inferences. This course covers probabilities and probability distributions, from the frequently used normal, Poisson, and binomial distributions, to the more specialized hypergeometric, Weibull, bivariate, exponential, and lognormal distributions. This course also covers distributions that test hypothesis and set confidence intervals, including chi-square, Student's t, and f-distributions. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Distinguish between independent, dependent, and mutually exclusive events
    Identify key characteristics of probability, combinations, and permutations
    Identify key characteristics of multiplication and addition rules
    Choose the appropriate discrete distribution for a given study
  • Choose the most suitable continuous probability distribution to use for a given scenario
    Use the z-score formula and normalized z-table to calculate cumulative probability of a value and choose the appropriate distribution formula to find probability, for a given scenario
    Distinguish between hypergeometric, bivariate, exponential, lognormal, and weibull distributions
    Determine when chi-square, student's t, and f-distributions are applied
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 15s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 12m 57s
    Upon completion of this video, you will be able to distinguish between independent, dependent, and mutually exclusive events. FREE ACCESS
  • Locked
    3.  Probability, Combinations, and Permutations
    9m 3s
    After completing this video, you will be able to identify key characteristics of probability, combinations, and permutations. FREE ACCESS
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    4.  Multiplication and Addition Rules
    8m 6s
    Learn how to identify key characteristics of multiplication and addition rules. FREE ACCESS
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    5.  Discrete Variable Probability Distributions
    10m 32s
    During this video, discover how to choose the appropriate discrete distribution for a given study. FREE ACCESS
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    6.  Continuous Variable Probability Distributions
    9m 59s
    After completing this video, you will be able to choose the most suitable continuous probability distribution to use for a given scenario. FREE ACCESS
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    7.  Normal and Poisson Distributions
    9m 43s
    Upon completion of this video, you will be able to use the Z-score formula and normalized Z-table to calculate cumulative probability of a value and choose the appropriate distribution formula to find probability, for a given scenario. FREE ACCESS
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    8.  Additional Distributions
    11m 13s
    During this video, you will learn how to distinguish between hypergeometric, bivariate, exponential, lognormal, and Weibull distributions. FREE ACCESS
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    9.  Chi-square, Student's T, and F-Distributions
    11m 31s
    Upon completion of this video, you will be able to determine when Chi-square, Student's t, and f-distributions are applied. FREE ACCESS
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    10.  Course Summary
    55s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

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