Six Sigma apples a wide variety of statistics for the determination of  best practices for deployment of Six Sigma projects.  Statisticians and Six Sigma consultants devise new methods which are based on the studies and experimentations of existed processes.

Statistically, Six Sigma ensures that about 99.9997% of all products produced are of acceptable quality. Some of the popularized statistical tools are as follows.

Control Charts / SPC

Minitab’s suite of control charts and powerful SPC capabilities helps in controlling the processes effectively. It offers tools for identifying the problems in the processes.  Process statistics can be tracked over time with the help of the SPC tools like control charts and the special causes can be identified which may pose threat to the  procedure.

Data / Sampling / Descriptive Statistics and Hypothesis Testing

Minitab 15 includes various  tools and guidance for satisfying the quality improvement projects. Minitab offers the complete range of basic statistical procedures which can be applied for simple estimation and hypothesis testing. It contains descriptive statistics and graphics, hypothesis tests and confidence intervals, variance, and association.

Measurement System Analysis (MSA) and Gage R&R

Minitab 15 includes the gage analyses and related tools to maintain higher standards of quality of  the process data. Minitab contains  a full suite of Measurement Systems Analysis commands to check the measurement system.

Online Statistics Textbooks

Online books contain Computer-Assisted Statistics Teaching and a highly interactive online textbook that includes dynamic displays like animations and simulations. It presents computer-based training based on data centered approach.

Process Capability / Capability Indices

The capability index is useful for measuring the continual improvement using trends over time, for  prioritizing the order leading to process improvement and for determining process capability in meeting customer requirements.

Others Statistical tools includes  Rational Subgroups and Subgrouping, regression analysis, SigmaXL, Variation.