Tips and Techniques for Statistics and Quality Improvement

Blog posts and articles about using Minitab software in quality improvement projects, research, and more.

 

Previously in our 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.

Continue Reading

Rafael Villa is a chemical engineer working as a Research and Development leader in the home care division of a company in Peru. His company that manufactures a vast range of consumer package goods and B2B products ranging from food items, such as cereal and candies, to cleaning supplies and home good items. Focusing on the design, formulation and optimization of consumer products, his R&D career has spanned multiple...

Continue Reading

In our continuing effort to use experimental design to understand how to drive the golf ball the farthest off the tee, we have decided each golfer will perform half the possible combinations of high and low settings for each factor. But how many times should each golfer replicate their runs to produce a complete data set?

 

Continue Reading

A score by the dominant left foot. Great passes into the penalty area. The 4-4-2 or 4-3-3 formation. The controversial yellow and red cards. The curse of penalties. There is something for everyone to enjoy in this month of world-class football.

According to a recent article on BBC, England has 4% chance to win the World Cup 2018. This is based on calculation using computer simulations.  Points are awarded for each...

Continue Reading

Tomorrow marks the 47th anniversary of the premiere of the great 1971 movie Willy Wonka and the Chocolate Factory, wherein the reclusive owner of the Wonka Chocolate Factory decides to place golden tickets in five of his famous chocolate bars, and allow the winners of each to visit his factory with a guest. Since restarting production after three years of silence, no one has come in or gone out of the factory....

Continue Reading

Last week we began an experimental design trying to get at how to drive the golf ball the farthest off the tee by characterizing the process and defining the problem. The next step in our DOE problem-solving methodology is to design the data collection plan we’ll use to study the factors in the experiment.

Continue Reading

Editor’s note: As we prepare for the inaugural Minitab Insights golf tournament in Scottsdale, Arizona on September 12, we are taking a look back at The Minitab Blog archives with some posts on using Minitab to understand how to improve our game. In this first installment, we examine how solving an age-old problem in golf is much like process engineering problems. Stay tuned each week as we cover the next step in our...

Continue Reading

I had the pleasure of hosting the first of our Minitab Need to Knows webinars, Managing Your Data in Minitab, last week with our special guest Quentin Brook. We received several great questions throughout the hour. There are some we were not able to answer, so I followed up with Quentin and the team at Minitab for their answers. Here they are ... 

Continue Reading

As the vice president of quality for a $1.5 billion-dollar industrial corporation, Hermann Miskelly is responsible for leading its continuous improvement effort. Now in his 10th year of a Lean Six Sigma deployment, he has overseen the execution of more than 4,000 major improvement projects and another 6,000 small improvement projects. Here are three key insights he shared about managing continuous improvement...

Continue Reading

 

Do you have an insurance policy that will pay out if your car gets damaged? Do you pay the premium because you know your car will be damaged? No, you pay it so that if you do damage your car you will get a payment to cover the damage.

Continue Reading