4.0 Six Sigma

Discrete & Continuous Probability Distributions (S015)


Description
This course provides an introduction to discrete and continuous probability distributions. Topics include;

Discrete Probability Distributions
- Binomial distributions
- Binomial probability & Bernoulli Trial
- Normal approximation of binomial distribution
- Poisson probability distribution
- What are Poisson rates?
Continuous Probability Distributions
- Continuous versus discrete distributions
- Probability density function (PDF)
- Normal distributions
- Student “t” distributions
- Degrees of freedom
- Chi-Square & F distributions

Estimated effort: 2 hours

BEFORE YOU START THE COURSE: Download the files listed on this page (see below). They can also be downloaded at any time during the training from he files TAB located top right of the training screen. You may wish to print the "Presentation Workbook" which is in a 3-slide per page format with sections for taking notes. You may be prompted at various times during the presentation to pause the recording and complete a brief assignment or answer questions. There is also a resource page that contains links to other sites and tools that will be referenced during your training.

COURSE ELEMENTS: Your course includes a main presentation (video), supplemental articles and, if applicable, links to supplemental recommended resources. Note: Your course test is only based on the content provided in the main presentation (video).
Content
  • RPM-S015-Discrete _ Continuous Probability Distributions.wmv
  • Bernoulli Trials - The Maths Tutor
  • Introduction to the Poisson Distribution - JB Statistics
  • Introduction to the t-Distribution (Statistics Fun, David Longstreet)
  • Hypothesis tests on one mean: t test or z test? - JB Statistics
  • Why Non Parametric Statistics? (RStats Institute)
  • Quick Quiz-S015
Completion rules
  • All units must be completed