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Basic Statistics: A Six Sigma Prerequisite
As more organizations embrace Six Sigma improvement methods, the need for training in basic statistics increases. The intent of this seminar is not
to produce statisticians. It is to provide participants with a functional understanding of basic statistical methods. An understanding of these concepts and methods can enable individuals to make greater sense out of the information overload that occurs today. Unlike the traditional accounting models for data analysis, which generally require detail and accuracy, statistical models provide understanding of effects and phenomena based upon samples. Moreover, statistical methods can even predict outcomes.
Who should attend this seminar?
Participants who have a need for a basic foundation in statistical methods will find this seminar appropriate. The presentation is practical with a minimum of theory. Persons interested in pursuing additional training in other statistical techniques will find this seminar very helpful. It is a prerequisite for Six Sigma training. The instructor welcomes calls to discuss the fit of this seminar to participants needs. This class is required for those taking the Six Sigma Green Belt series certificate.
What you will learn
- How to use descriptive statistics
- The nature of variation and how it is predictable
- Measures of central tendency and dispersion
- Concepts of probability
- Types and use of sampling
- Histograms and other charting techniques
- Utilize methods using exercises with Excel® worksheets free to take with you.
- The normal distribution and other statistical distributions
- The use of confidence intervals
- Process capability studies (Cpk)
- Provides a foundation in analytical methods necessary for today’s demanding environment
- Enables better decision making through effective data analysis
- Increases effectiveness of communication
- Preparation for training in higher level statistical methods as in Six Sigma.
It includes a certificate of completion and requires eight hours of class time. All materials are provided.