Electronics Maker Uses Monte Carlo Simulation to Find Better Specs for Suppliers and Realize Significant Cost Savings
Simulate results and find improvement faster and cheaper than old methods of running tests on real parts. Learn about using Minitab and Workspace together.
Updating Graphs, Making Patterned Data and More Tips & Tricks to Help You Master Minitab
Quick tips to manipulate data, run analyses and create visualizations faster. Plus watch them in action in the Tips & Tricks for Minitab webinar on demand.
5 Tips for Handling Messy Data in Minitab
Ever struggle to clean and manipulate data for analysis? Minitab has everything you need. Check out these 5 quick tips for cleaning your data in Minitab.
File Not Found? Missing Output? Quick Tips to Troubleshoot Python Errors
Get a few quick tips to troubleshoot common errors when running Python scripts from the interface of this easy-to-use statistical analysis software.
Survey Data in Minitab: Organize, Simplify, Visualize and Analyze
Let's look at how survey data can help analysts understand customer behavior and attitudes, and you can use several tools in Minitab to help with survey data.
Do You Need to Improve Your Data Literacy? See If You Can Answer These 5 Questions
Ever see data analysis you didn’t understand but were too afraid to ask about? Start your data literacy journey! See if you can answer these 5 questions.
Detect Small Shifts in the Process Mean with Exponentially Weighted Moving Average (EWMA) Charts
Although Xbar-R and Individuals charts are great at detecting large shifts in the process, EMWA charts are better for smaller shifts. Learn more from Minitab.
Too Much or Not Enough: Sample Sizes and Statistical Analysis
Collecting a subset of data and not measuring the entire population makes statistical analysis practical, saving money and time with sampled data.
Quickly Run a Python Script with a Button in Minitab
Learn about Minitab’s new Python integration feature and how to easily run custom Python code via a button in the Minitab interface.
Dice, Dragons and Getting Closer to Normal Distribution: The Central Limit Theorem
Data analysts don’t count sheep at night. We look for a bell-shaped curve in their jump. Read more about normal distribution and the Central Limit Theorem!