Course details

Six Sigma Probability and Statistical Distributions

Six Sigma Probability and Statistical Distributions


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
This course covers calculating probability and introduces different types of distributions. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Prerequisites
None

Expected Duration (hours)
1.4

Lesson Objectives

Six Sigma Probability and Statistical Distributions

  • 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
  • demonstrate your understanding of Six Sigma probability and statistical distributions
  • Course Number:
    apr_03_a02_bs_enus

    Expertise Level
    Intermediate