Minitab Training

Provides practical instruction on using Minitab for statistical analysis, process quality control, regression modeling, and experimental design.

What we cover

• Module 1: Introduction to Minitab Overview & Interface: The Minitab environment, Session Window, Worksheets, Navigator pane, and Menu Bar. Data Classifications: Working with Numerical, Categorical, Text, and Date/Time data types. Worksheet Operations: Sorting, filtering rows, column formatting, and checking column descriptions.
• Module 2: Preparing a Worksheet Data Ingestion: Importing Excel spreadsheets, CSV files, and delimited text files. Data Manipulation: Reordering columns, renaming fields, inserting new variables, and recoding data (Text to Numeric / Numeric to Text). Formulas & Calculations: Using the Minitab Calculator to build expressions and assign dynamic formulas to columns.
• Module 3: Graphing Data Distribution Graphs: Creating, interpreting, and customizing Histograms (binning, normal fit overlays). Relationship Plots: Generating Scatterplots manually and via the Minitab Assistant. Categorical Visualizations: Creating simple and clustered Bar Charts. Layout & Storage: Arranging multi-panel charts using the Graph Layout Tool and saving project files (.MPX).
• Module 4: Analysing Data Descriptive Statistics: Computing Mean, Standard Error, StDev, Median, and Quartiles (Q1,Q3). Comparative Hypothesis Testing: 2-Sample t-Tests and Analysis of Variance (ANOVA). Regression Modeling: Fitting linear regression models (Y by X) and interpreting ANOVA tables, coefficients, and R2 values. Categorical & Association Analysis: Cross-tabulation contingency tables, Pearson Chi-Square tests, Likelihood Ratio tests, and Nominal/Binary Logistic Regression.
• Module 5: Assessing Quality Statistical Process Control Charts: Variable control charts for subgroups (X-bar, R-charts, X-bar-S) and individuals (I-MR). Attribute Control Charts: Proportion and defect charts (p, np, c, u charts). Customizing Charts: Adding time/date axes and managing Upper/Lower Control Limits and Center Lines. Process Capability Analysis: Generating normal/non-normal capability reports; interpreting Cp, Cpk, Pp, Ppk, and PPM defect metrics. Calculation Tools: Computing percentiles and performance indices.
• Module 6: Designing an Experiment (DOE) DOE Principles: Factorial design concepts and variable interactions. Creating Factorial Designs: 2-level full factorial and fractional factorial setups. Data Entry & Model Analysis: Entering experimental runs, analyzing factorial models, and evaluating ANOVA tables. Optimization: Using Stored Models, Cube Plots, and the Response Optimizer to identify target factor settings.
• Module 7: Using Session Commands Command Line Usage: Enabling the command prompt, syntax conventions, and entering direct session commands (e.g., DESCRIBE C1;). Session Automation: Copying history commands and generating automated Exec script files (.MTB).
• Module 8: Generating a Report Report Builder: Creating structured reports within Minitab. Content Integration: Appending graphs, tables, descriptive text, and analytical annotations. Formatting & Exporting: Resizing charts, rearranging report elements, and exporting documents.
• Module 9: Customising Minitab Preferences & Interface Setup: Customizing graph default templates, creating custom toolbars, and configuring keyboard shortcuts. Specialized Statistical Plots: Mosaic Plots, Odds Ratios in logistic regression, and Pareto defect charts. Advanced Quality Functions: Operating Characteristic (OC) Curves for acceptance sampling and 1-Sample hypothesis testing.

Every session is customized to your organization's needs. The final agenda is confirmed with your facilitator before delivery.