Lean Six Sigma & Operational Excellence
Applied Statistics for Six Sigma
A hands-on deep dive into the statistics behind Six Sigma. Participants learn which data and metrics matter in DMAIC projects, how to describe and test process data, and how to separate common-cause from special-cause variation using Minitab, so that improvement decisions rest on evidence rather than opinion.
At a glance
Catalog codeA01
Duration
- 3 days
LevelPractitioner
Program typeProfessional Course
LanguageEnglish / Arabic
DeliveryIn-house · Public · Online
Who it's for
- Green/Black Belts and anyone seeking advanced Six Sigma statistics
Learning objectives
- Use statistical tools within DMAIC projects
- Select the appropriate test and interpret results
- Characterise processes and identify common- cause variation
Detailed content
- Why measure: decisions, variation and the cost of guessing
- Types of data: continuous, discrete, attribute, ordinal
- Operational definitions and data-collection plans
- Sampling strategies: random, stratified, systematic, rational subgroups
- Performance metrics: DPU, DPMO, yield, rolled throughput yield, sigma level
- Central tendency: mean, median, mode and when each misleads
- Spread: range, variance, standard deviation, IQR
- Graphical analysis: histogram, box plot, dot plot, run chart, Pareto
- Shape: skewness, kurtosis, outliers and data stratification
- Probability basics and rules
- Normal distribution and the empirical rule
- Z-scores and areas under the curve
- Binomial and Poisson for defects and defectives
- Normality tests (Anderson-Darling) and transformations
- Sampling distributions and the Central Limit Theorem
- Confidence intervals for means and proportions
- Sample-size determination for a target precision
- Hypothesis testing logic: null, alternative, alpha, beta, power
- t-tests, paired t, ANOVA and chi-square: choosing the right test
- Common-cause vs special-cause variation
- Control charts: I-MR, X-bar/R, p and u
- Process capability: Cp, Cpk, Pp, Ppk and sigma level
- Correlation and simple regression for process drivers
- Minitab and Excel lab: complete characterisation of a real process
Day-by-day agenda
A typical schedule. In-company versions are tailored to your processes, data and timing.
- Measurement and data
- Descriptive statistics
- Probability and distributions
- Inferential statistics
- Process characterisation
- Case study, action plans and course assessment
Practice, tools and assessment
Hands-on practice
- Catapult or paper-helicopter simulation run through all DMAIC phases
- Write a project charter and SIPOC for a real process from your workplace
- Analyse a real data set in Minitab/Excel: capability, hypothesis tests and regression
- Build and interpret X-bar/R, I-MR and p-charts from plant data
Tools and templates you keep
- Project charter and SIPOC templates
- DMAIC tollgate checklist
- Control plan and response plan template
- SPC chart selection guide
How learning is assessed
- Pre- and post-course knowledge check
- Assessment of practical exercises by the trainer
- Action plan reviewed at the end of the course
Built on these standards and bodies of knowledge
- ASQ Six Sigma Body of Knowledge
- IASSC Lean Six Sigma Body of Knowledge
- ISO 13053-1/-2 (Six Sigma quantitative methods)
Certificate
Excellence Center Certificate of Attendance
Prerequisites: Laptop with Windows and Minitab (or equivalent)
How it is delivered
- Public courses in Cairo, in-company programs and live online training
- Practical exercises, case studies and examples from your sector
- Can also run as Train & Stay in Sharm El Sheikh, Hurghada or Cairo
Part of these career paths
- Operational Excellence & Lean Six Sigma · Practitioner
What participants say
“When I started the course I was a quality specialist; after it I was promoted to quality team leader. Six Sigma changed a lot for me. Very comprehensive – I'd suggest it 100%.”
“The course teaches you to take hold of a problem logically and solve it scientifically. The explanation was simple, and this way of thinking matters for life as a whole.”
“What I gained most: I never imagined how much money projects can lose. We ran a small cost project on our site and found mistakes we can now avoid.”
FAQ
Frequently asked questions
How long is Applied Statistics for Six Sigma?
The program runs 3 days. In-company versions can be adapted to your needs.
Is the course taught in Arabic or English?
Sessions are usually delivered in Arabic with English technical terms and materials. Full English delivery is available for in-company groups.
Can you run it inside our company?
Yes. In-company programs use exercises built on your own processes. Tell us the group size and preferred timing and we will send a proposal.
Will I receive a certificate?
Participants who complete the program and its assessment receive a certificate from The Excellence Center, which can be verified online.
More programs in this field
- Foundations of Operational Excellence3 days
- Lean Six Sigma Black Belt20–25 days
- Lean Six Sigma Champion (Sector Managers & Directors)2 days
- Lean Six Sigma Green Belt9–10 days
- Lean Six Sigma Master Black Belt10 days
- Lean Six Sigma Orange Belt5 days
- Lean Six Sigma White Belt (Awareness)1 day
- Lean Six Sigma with Value Stream Mapping (5-day practitioner / 12-day Green Belt track)5 days
- Lean Six Sigma Yellow Belt (Introduction to Lean Six Sigma)5 days
Get dates, fees and the full outline.
Tell us whether you are joining as an individual or planning a program for your team.