# Six Sigma Probability and Statistical Distributions

Six Sigma Green Belt    |    Intermediate
• 16 videos | 58m 34s
• Includes Assessment
• CPE
Rating 4.2 of 95 users (95)
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

• In this video, you will learn how to distinguish between common probability terms.
• 3.  Simple and Mutually Exclusive Events
During this video, you will learn how to use the formulas for calculating the probability of simple and mutually exclusive events.
• 4.  Independent and Dependent Events
In this video, find out how to calculate the probability of given events.
Learn how to calculate probability using the addition rule.
• 6.  The Multiplication Rule
In this video, you will learn how to calculate probability using the multiplication rule.
• 7.  Calculating Permutations
In this video, you'll learn how to calculate a permutation.
• 8.  Calculating Combinations
Learn how to calculate a combination.
• 9.  Probability Distributions
In this video, you will learn how to distinguish between different types of variables.
• 10.  Normal Distribution
During this video, you will learn how to identify characteristics of a normal distribution.
• 11.  Calculating Probabilities from Z-values
In this video, find out how to calculate the cumulative probability from the z-score.
• 12.  Binomial Distributions
Learn how to recognize examples of using a binomial distribution.
• 13.  Poisson Distributions
In this video, you will learn how to recognize examples of using the Poisson distribution effectively.
• 14.  Chi-Square Distributions
During this video, you will learn how to recognize characteristics of chi-square distributions.
• 15.  Student's t-Distributions
Discover how to identify uses for the Student's t-distribution.
• 16.  F-Distributions
In this video, you will learn how to identify characteristics of F-distributions.

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