Minitab Training will help you to understand statistics, data analysis and will give you handson with Minitab 17. Statistics covered here forms the basis for Data Analytics.
What is Minitab?
Minitab is a software package that helps us in the analysis of data. It is also extensively used by Six Sigma Experts a is an important part of studying data, particularly in the Measure and Analyse phases of DMAIC. Minitab provides a quick, effective solution for the level of analysis. Let’s understand how to effectively conduct Statistical Data Analysis using Minitab.
Statistical Data Analysis: Minitab Training
Statistics and DMAIC
This Minitab Training is designed as per DMAIC structure of Six Sigma. Because Six Sigma is an investigative problemsolving methodology and Statistical Data Analysis is the backbone of Six Sigma.
In DMAIC methodology, the problem is defined in the first phase.
Measure Phase
In Measure Phase, the defined problems are measured in terms of statistics. In this phase, the real world problem gets converted into a statistical problem which is easier to solve. We need to be doubly sure that our data is reliable. Hence, we use Measurement System Analysis to check the reliability of our data sources. And also we arrive at a sampling size and sampling methodology, do collect data, we screen the data for errors – trends and patterns, typoerrors, the stability of process to validate that collected data represent the process.
We need to fit our data into a statistical model. Mostly we use NormalCurve Model. So, we check the Normality of our data to understand how much closer it is to the normal curve model.
If our data fits satisfactorily with Normal curve model, then we use this model to calculate Process Capability. We here discuss three methods of calculating process capability, viz., Defects Per Million Opportunities (DPMO), Process Capability Index – Corrected Process Capability Index (Cp & Cpk) and Standard Normal Approximation method. We learn all these tests in the Minitab Training.
Analyse Phase
With the mathematical problem – usually poor process capability – low capability number, we proceed to Root cause analysis in the Analyse Phase. The root causes of the problem are identified and proved in Analyse Phase using Statistical Tools like Hypothesis Testing, Regression, BoxPlot, Histogram, Pareto, Design of Experiments. In Analyse phase we arrive at statistical solutions to statistical problems. We look at all data analysis tools, namely, Pareto chart, Boxplot, Histogram, Hypothesis testing using the 1sample ttest, 2sample ttest, paired ttest, ANOVA, Regression Analysis in this Minitab Training.
Control Phase
We convert the statistical solutions into real life solutions at Improve Phase. Once the improvements are achieved and the problem is solved, we move on to make the changes getting into practice through Control Phase. As the saying goes, focus on your duty and results will follow, we will control the factors using control charts to keep the problem away. We understand uses of various control charts and generation of charts using Minitab in this Minitab Training.
Training Contents
Measure
Basics of Statistics

Types of Data

Data Collection & Display
 Frequency Table
 Concentration Diagrams
 Stem and Leaf Diagrams
 Frequency Distribution
 Histogram

Descriptive Statistics
 Definitions
 Population and Sample
 Why do we need samples?
 Different methods of sampling
 Estimating Sample Size

Properties of data
 Central Tendency
 Mean, Median, Mode & Quartiles
 Dispersion
 Range, Variance, Standard Deviation & IQR
 Central Tendency

Introduction to Minitab
 Descriptive Statistics using Minitab

Inference from Data
 Inferential statistics
 Probability Distributions
 Normal Distribution

Measurement System Analysis (based on AIAG Guidelines)
 Why MSA?
 Measurement Errors
 Accuracy and Precision of Measurements
 Measurement Linearity
 Gage R&R
 Attribute Agreement Analysis
 Why MSA?

Understanding Behaviour of collected data
 Trends & Patterns in Data
 Trend Analysis
 Variation & its consequences
 Stability Analysis
 Test for Normality
 Trends & Patterns in Data

Process Capability
 Cp & Cpk
 DPMO
 Standard Normal Distribution (Z)

Basic Data Analysis Tools
 Histogram
 Pareto Analysis
 Box Plot
Minitab Tools
 Descriptive Statistics
 Gage R & R
 AAA
 Time Series Chart
 Control Charts
 Normality Test
 Capability Analysis
 Histogram
 Pareto Chart
 Box Plot
Analyse

Testing of Hypothesis
 t – Test
 F – Test
 ANOVA
 Chi Square

Regression Analysis
 Regression and Correlation
 Determination Coefficient
 Simple Linear Regression
 Curvilinear Regression
 Multiple Linear Regression

Design of Experiments
Control Phase
 ControlCharts
 Individual Values
 Variables
 Attributes
Minitab Tools
 1 Sample t Test
 2 Sample t Test
 Paired t Test
 ANOVA
 Chi Square
 Regression
 ANOVA – GLM
 DOE
 Factorial Design
 Factorial Analysis
 Response Optimiser
 I Chart
 I – MR Chart
 X bar R Chart
 P Chart
 NP Chart
 U Chart
 C Chart
Free Minitab Software
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Minitab License
Contact us to Purchase Minitab Software License – version 17 and Quality Companion software License. Please write to kannan@csensems.com for more details or call us on +91 90290 91072.