Don't Automatically Settle for a 30 Piece Capability Study…
Minitab’s confidence intervals offer a better sense of the variability and you can avoid costly mistakes that could result from a small sample size.
Using Simple Linear Regression for Instrument Calibration? Learn why Orthogonal Regression is a Better Approach
Using simple linear regression for instrument calibration? Read this article to learn why orthogonal regression is a better approach.
5 Analytical Skills to Improve Your Chemical Engineering Career
Learning data analysis and data science skills will enable chemical engineers to provide unique and in-depth insights from your data to create value.
Bringing Together IT and Operational Excellence Teams for Successful Digital Transformation
With 30 years of international experience in manufacturing, the thoughts of Industry Expert Greg Kinsey on digital transformation are worth reading!
How to Create a Python Visual in Minitab
Learn how to extend the functionality of Minitab Statistical Software using Python scripts as you follow this real-life scenario.
Minitab Analysis Reveals Surprising Traveler Preferences for Top Vacation Rental Provider
Learn how this Minitab Customer helped a top vacation rental provider find the root cause of its customers' growing dissatisfaction during the pandemic.
Predictive Analytics Comes of Age in Manufacturing
Predictive analytics doesn’t have to be the complex and specialized task it used to be. Minitab’s Auto Machine Learning (Auto ML) makes it more accessible.
The Battle of the Baseball Parks with ANOVA vs. ANOM
Using Analysis of Variance (ANOVA) and Analysis of Means (ANOM) we will learn which baseball parks are the best for hitters and for pitchers.
Predicting Mortgage Default with the Minitab Predictive Analytics Module
Learn how Minitab Predictive Analytics can help minimize the number of mortgage defaults by predicting what customers are likely to default in the future.
Why Chemical Engineers Should Get to Know ANOVA
Learn how chemical engineers can use Analysis of Variance (ANOVA) to compare the means of measurements across groups.