5 Reasons Factorial Experiments Are So Successful
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. This week we'll design the data collection plan we’ll use to study the factors in the experiment.
A (Golf) Course in Design of Experiments
As we prepare for the inaugural Minitab Insights golf tournament in Scottsdale, Arizona on September 12, we are taking a look back at this series on using Minitab to improve our game. In this first installment, we examine how solving an age-old problem in golf is much like process engineering.
Power and Sample Size – Your Insurance Policy for Statistical Analysis
When we do statistical analyses, like hypothesis testing and design of experiments, we are using a sample of data to answer questions about all of our data. The reliability of these answers is affected by the size of the sample we analyze. To minimize the risk of doing unreliable statistical analysis we can use the Power and Sample size before collecting any data to determine how much data is needed to have a good chance of finding that effect, if it exists. The minimum recommended value for this is 80%.
Sealing Up Patient Safety with Monte Carlo Simulation
If you have a process that isn’t meeting specifications, using the Monte Carlo simulation and optimization tools in Companion by Minitab can help. Here’s how you, as an engineer in the medical device industry, could use Companion to improve a packaging process and help ensure patient safety.
How Can You Fix the Process and Improve Product Development with Simulated Data? See All the Scenarios with Monte Carlo
How do you commit to realistic forecasts and timelines when resources are limited or gathering real data is too expensive or impractical? Can simulated data be trusted for accurate predictions? That’s when Monte Carlo Simulation comes in. Check out this step-by-step guide.
Odds Ratios and St. Patrick's Day: Are 4-Leaf Clovers Really All That Lucky?
Learn about odds ratios and logistic regression in Minitab Statistical Software. Investigate relationships and how predictors affect probabilities of responses.
Automatically Send an Email when a Control Chart Fails
Automatically Send an Email when a Control Chart Fails