Statistical Quality Training


Minitab Supported Statistical Quality Training

This training will provide you a great advantage and constitute a reference with its practice-oriented design for fields like Production, Quality and Process development. Quality training for comprehensive and up-to-date statistical applications using the world leader in quality improvement and statistical analysis software Minitab. This training also train you with statistical quality analysis as well as usage of Minitab.

Up to date training informations

For more information about up to date trainings, you can contact us by e-mail to or by calling +90 312 210 13 44

Participant profile

  • All industrial applicants who interested in statistical quality applications,
  • Researchers,
  • Academists,
  • University students.

Training notes

  • Training is given with computer practice,
  • At the end of the training, participants are given certificates,
  • Tea-coffee, refreshments and lunches are charged.

Training Subjects

General Minitab usage includes instructions for use, such as windows, menus data transfer from Excel and databases.

Contains information on the definition, purpose, organization, tools and returns of Six Sigma.

  • Determination of process adequacy and output variables with high statistical reliability.
  • Identify clearly identifiable causes of variability
  • To obtain the components of initial variability (from shift to shift, party to party, operator to operator)
  • Obtain an initial idea of process stability based on time
  • Provide analysis and interpretation techniques aimed at providing information to Black Belts during the process analysis stage.
  • Investigation of linear relationship between two variables
  • Correlation coefficient
  • Severity of correlation relations
  • Statistical Definitions
  • Stability
  • Variability definitions
  • Definitions of Central Tendency
  • Sampling
  • Normal Distribution
  • Normal Distribution tests
  • What is the Hypothesis Test
  • Alpha-Beta (Manufacturer – Customer) Risks
  • Where and how the Hypothesis Test is used
  • Stages of Hypothesis Tests
  • Can the measuring system make the appropriate separation?
  • Is the measuring system statistically stable over time?
  • Is the measurement error small?
  • Different graphics and their usage tools
  • Most used graphics in Minitab
  • Use of graphs according to data with stacked and unstacked
  • SPC philosophy
  • Differences between special and natural causes
  • Data types
  • Xbar-R graphics
  • Single-Moving range graphics(I-MR)
  • What control limits mean
  • Sampling size and systematics
  • The role of IPC in process improvement
  • Typical errors in control chart usage


  • Z-Transform and error estimates
  • Normal distribution table
  • Short-term process competency
  • Long-term process competency
  • Sigma level-error rate relationship
  • Process Competency Indexes – Cp, Cpk
  • Real Competence-Potential Competence
  • Box-Cox Transformation
  • What is regression
  • Regression types
  • Selection and analysis of variables in multiple regression
  • Modeling and residual analysis