Probability and Statistics


Overview/Description
Target Audience
Expected Duration
Lesson Objectives
Course Number


Overview/Description
The Measure step of the DMAIC system used in Six Sigma® relies on the use of probability and statistics to produce information on variations in process. Black Belt candidates must be proficient in descriptive, inferential, and process-oriented statistical thinking; must understand how to stratify data; and must appreciate the uses of the Central Limit Theorem and inferential statistics to interpret available data. This course serves as a summary for each of these areas, and provides a refresher on basic statistical methods and the uses of probability. Six Sigma is a registered Trademark of Motorola Corporation, and all right, title and interest in Six Sigma belongs to Motorola.

Target Audience
Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project

Expected Duration (hours)
2.0

Lesson Objectives

Drawing Valid Statistical Conclusions

  • recognize the value of drawing valid statistical conclusions.
  • match descriptive statistics, inferential statistics, and process thinking to examples.
  • identify the categories used to organize data for data stratification.
  • match examples of the steps for creating a measurement assessment tree.
  • differentiate between examples of continuous and discrete data.
  • select an appropriate conversion of a continuous measure into a discrete measure in a given workplace scenario.
  • determine the population parameter for a given data set.

    • The Central Limit Theorem, Confidence Intervals, and Probability

  • recognize the benefit of understanding the central limit theorem, confidence intervals, and the uses of probability.
  • recognize examples of the steps for using the Central Limit Theorem in a given scenario.
  • determine the confidence interval for a given data set.
  • use rules of probability to solve a hypothetical workplace scenario.

    • Course Number:
    OPER0192