Course Minitab and Statistics Masters

Course Description

Statistics and Minitab Masters is an exclusive CusumAcademy course that takes any engineer from beginner to expert in using Minitab for statistical analysis.

Recommended For

Quality, Manufacturing, Production and Validation Engineers, Technicians and Managers interested in learning how to use Minitab to execute MSA, DOE, Ppk studies, among others.

Estimated Time to Complete

Online Course

30 Hours

Previous Knowledge

No Previous Knowledge Required

Pricing Tiers

T1 Standard - Self Paced

$15 USD

1 Year Access to the Complete Course Online
Includes all Video Step by Step Lessons
PDF, Minitab and Word Exercise Files
Complete 30 Day Money Back Guarantee
Course Completion Certificate
Learn at your Own Pace

The Cusum Academy Pledge

At CusumAcademy we want all Engineers to reach their full potential and cost should never stop people who want to learn from growing.

Thanks to our students and sponsors we can now offer our courses at 15 USD. However if this is still out of your budget please contact us at info@cusum.mx and we are happy to provide you with additional discounts.

30 Day Satisfaction Guarantee:All our courses include a complete 30 day money back guarantee. If you are not satisfied with the course content your account includes an option to request a refund within 30 days, or you can email us at info@cusum.mx and we are happy to process it for you. No questions asked!

Course Content List

Module 1 Minitab: Basic Concepts for Beginners
Data capture in Minitab. Show descriptive statistics tool
Creating histograms with reference lines
Creation of box plots and comparison of results between different suppliers
Introduction to Process Mean and Standard Deviation Using Graphs
Probability distribution graph. How much data is within +- 3 sigma?

Module 2 Minitab: Hypothesis Testing for Attribute and Variable Type Data
Introduction to H0 and Ha hypothesis testing
Creating graphical summaries with Minitab
Hypothesis Testing for Variable Data 2 Sample T Test
Hypothesis Testing 1 Sample T Test
Hypothesis Testing for Attribute Type Data 1 and 2 Proportion Tests
Hypothesis test for process standard deviation with 1 variance and 2 variances

Module 3 Minitab: Capability studies for normal and non-normal data
Introduction to Normality Testing (Normal vs. Nonnormal Distributions)
Identifying non-normal distributions with the Individual Distribution Identification Tool
Process Capability for Normally distributed data Cpk/Ppk
Process Capability for non-normally distributed data ppk
Data Transformation for Non-Normal Type Data with Johnson and Box-Cox

Module 4 Minitab: Linear and Quadratic Regression Analysis for Creating Process Windows
Introduction to Correlation Analysis with Scatterplots
Correlation analysis using P values and pairwise correlation table
Regression analysis using fitted line plot and residual plots
Selecting a process parameter window using the response optimizer
Regression analysis for discrete data (Poisson regression)

Module 5 Minitab: Measurement System Analysis, Test Method Validation with R&R (Gage R&R)
Introduction to Measurement System Validation (MSA)
Crossed Gage R&R for non-destructive type testing
Nested R&R Gage for Destructive Type Testing
Attribute Agreement Analysis (AAA / Kappa Test) for Pass/Fail Test Methods

Module 6 Minitab: Design of experiments with fractional, factorial, response surface, and mixture DOE
Introduction to Experiment Design
Basic Design of Experiments for Linear Relationships using Factorial DOE
Advanced Design of Experiments for Quadratic Relationships Using DOE Response Surface
Design of Filter Type Experiments for Machines with 4+ Parameters using Plackett Burman DOE
Design of Mixture Type DOE for Optimization of Raw Material Compositions
Complete DOE response surface example with catapult simulator

Module 7 Sampling Plans: ANSI Z1.4 Basic Level
Verified processes Against validated processes
Sampling by attributes and variables
Attribute-based sampling with Z1.4 and MIL-STD-105
Calculating AQL Values with Minitab and Understanding Producer Alpha Risk
Introduction to RQL and Beta: Rejectable Quality Levels
Calculating RQL Values for Z1.4 Sampling Plans with Minitab
ANSI Z1.4 Single and Double Base Sampling Plans
Calculating RQL Values with Minitab for Dual Base Sampling Plans
ANSI Z1.4 Normal, Strict and Reduced Inspection Rules

Module 8 Sampling plans: Advanced ANSI Z1.9 and C=0
Introduction to C=0 Attribute Sampling Plans
Create C=0 sampling plans that are equivalent to ANSI Z1.4 plans
Introduction to variable-based sampling plans using ANSI Z1.9
ANSI Z1.9 Dual Specification Sampling Plans
Reducing the number of ANSI Z1.9 samples with Minitab

Module 9 Statistical Process Control (SPC)
Introduction to Statistical Process Control. What is SPC?
Implementation of Xbar-R control charts
Implementation of I-MR control charts
Implementation of P control charts for pass/fail SPC operations

With Pride Training Engineers from the Best Medical Device Companies

Meet the Instructor QE NPI Andres Ruelas

Andrés Ruelas is a world-renowned Minitab Master who has personally developed all of the lessons included in this Academy using first-hand experience of what engineers really need to succeed as quality and manufacturing engineers. Learn from the best to become the best!

Certified Industrial Engineer and Published Author
More than 6 years of experience in medical device manufacturing
Trainer of more than 800 students in 5 different countries.
Owner of the CusumAcademy YouTube channel with more than 563,000 visits and more than 73,000 hours of views.

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