Six Sigma Probability and Statistical Distributions

Six Sigma Green Belt
  • 16 Videos | 1h 20m 4s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
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By determining the probability that a certain event, or multiple events, will occur during your business process improvement project, you’ll have a better chance of planning an effective process design. You also need to understand the characteristics of various statistical distributions, and their suitability for different types of data. This course covers different Lean Six Sigma tools and techniques for calculating probability in process improvement initiatives, including independent events, mutually exclusive events, multiplication rules, permutations, and combinations. You’ll also explore different types of distribution such as normal, Poisson, binominal, chi square, student's T, and F distributions, and how they can be applied in Lean projects to ensure process control. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

WHAT YOU WILL LEARN

  • distinguish between common probability terms
    use the formulas for calculating the probability of simple and mutually exclusive events
    calculate the probability of given events
    calculate probability using the addition rule
    calculate probability using the multiplication rule
    calculate a permutation
    calculate a combination
    distinguish between types of variables
  • identify characteristics of normal distribution
    calculate the cumulative probability from the z-value
    recognize examples of using a binomial distribution effectively
    recognize examples of using Poisson distribution effectively
    recognize characteristics of chi-square distributions
    identify uses for Student's t-distributions
    identify characteristics of F-distributions

IN THIS COURSE

  • Playable
    1. 
    Six Sigma Probability and Statistical Distributions
    52s
    UP NEXT
  • Playable
    2. 
    Introduction to Probability
    3m 22s
  • Locked
    3. 
    Simple and Mutually Exclusive Events
    2m 48s
  • Locked
    4. 
    Independent and Dependent Events
    4m 59s
  • Locked
    5. 
    The Addition Rule
    5m 34s
  • Locked
    6. 
    The Multiplication Rule
    5m 31s
  • Locked
    7. 
    Calculating Permutations
    3m 47s
  • Locked
    8. 
    Calculating Combinations
    3m 7s
  • Locked
    9. 
    Probability Distributions
    3m 50s
  • Locked
    10. 
    Normal Distribution
    2m 48s
  • Locked
    11. 
    Calculating Probabilities from Z-values
    6m 14s
  • Locked
    12. 
    Binomial Distributions
    3m 8s
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    13. 
    Poisson Distributions
    3m 16s
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    14. 
    Chi-Square Distributions
    3m 59s
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    15. 
    Student's t-Distributions
    2m 37s
  • Locked
    16. 
    F-Distributions
    2m 42s

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