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Minitab Blog | Statistics (2)

Tips and Techniques to Make Your Best Data-Driven Decisions

Top Posts

Editor Picks

Top Posts - Statistics

Updating Graphs, Making Patterned Data and More Tips & Tricks to Help You Master Minitab

Against the Odds: Honoring Women in Math and Statistics

5 *More* Quick Minitab Tricks Even Some of the Experts Don't Know

Let Me Count the Ways: Brainstorming Why I Love Dogs with a Fishbone Diagram

To Insights and Beyond: The 5 Key Challenges & Learnings You Need to Know from 2019 Minitab Insights Conference

How to Correct Case Mismatches from Excel in Minitab, Fast

Minitab Statistical Software | 3 Minute Read

Data entry errors happen. Fortunately Minitab has tools like Recode. It's easy to get your data into shape so you can move on to get the answers you need.

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Critical Checks for Pharmaceuticals and Healthcare: Validating Your Data Integrity and Process Performance

Lean Six Sigma | 4 Minute Read

When regulators in pharmaceutical & healthcare ask you to validate analytical techniques, measurement systems ('Data Integrity') and process performance ('SPC'), Minitab recommends these critical checks.

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Using My Fitness Tracker's Data To Get A Superhero-Inspired Physique

Manufacturing | 6 Minute Read

Analyzing two year's of fitness tracker data using Minitab Statistical Software to answer: does adding resistance training improve calories burnt compared to pure cardio?

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Using Intervals to Get at the Tail Ends of the Problem in Healthcare and Medical Devices

Medical Devices | 4 Minute Read

Demonstrating process improvement often involves showing improvement in the mean, so we focus on the center of a distribution. Defects don’t fall in the center, though. They're in the tails.

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Improve Your Production Stability for Competitive Manufacturing with Minitab Engage

Lean Six Sigma | 4 Minute Read

Parts are to be manufactured to specifications. Unstable behaviours generate quality problems experienced by customers later on. This article touches on why and how to reduce instability with a structured quality and problem-solving approach such as DMAIC applied using the modern toolkit of Minitab.

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7 Top Talks from the Minitab Insights Conference

Anova | 7 Minute Read

See what goes into a great Minitab Insights Conference presentation. Great stories others want to hear. Discovering new tools in Minitab software. Engaging walkthroughs of finding insights in your data, and recommendations on how to act on them. All packed into a few days of learning and fun.

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Besides Traditional Designs, Definitive Screening Designs can help Process & Product Optimization

Design Of Experiments - Doe | 6 Minute Read

Definitive Screening Designs (DSDs) are a new class of designs of experiments (DoE) that have generated a lot of interest for process and product optimization. They are available in the latest version of Minitab.

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Process Validation Tools For Clinical Approval: An Example For Passing the 3 FDA Stage Goals

Design Of Experiments - Doe | 6 Minute Read

The FDA recommends three stages for process validation. Let’s explore the stage goals and the types of activities and statistical techniques typically conducted within each. You can use Minitab Statistical Software to run any of the analyses here. If you don’t yet have Minitab, try it free for 30 days.

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Concluding Our Golf DOE: Time to Quantify, Understand and Optimize

Design Of Experiments - Doe | 7 Minute Read

Last week on The Minitab Blog, we used Minitab Statistical Software to review analysis of covariance (ANCOVA) and blocking variables in our ongoing design of experiment (DOE) on how to get the longest drive in your golf game. Now let’s finish it. We’re ready to review and present our results.

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ANCOVA and Blocking: 2 Vital Parts to DOE

Design Of Experiments - Doe | 5 Minute Read

Previously in our Minitab designed experiment on driving the golf ball as far as possible from the tee, we tested our four experimental factors and determined how many runs we needed to produce a complete data set. Now let’s analyze the data and interpret the covariates and blocking variables.

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