Power and Sample Size – Your Insurance Policy for Statistical Analysis (Insights America 2019)
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%.
Using Intervals to Get at the Tail Ends of the Problem in Healthcare and Medical Devices (Insights America 2019)
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.
更新图形、产生模板化数据，以及可助您掌握 Minitab 的更多提示和技巧
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.
Concluding Our Golf DOE: Time to Quantify, Understand and Optimize (Insights America 2019)
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.