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%.
Guest Post: It’s Tough to Make Predictions, Especially about the Future (even with Machine Learning) (Insights America 2019)
At its core, all Machine Learning algorithms follow a two-part process. First a sequence of increasingly complex functions is fit to part of the data (training data set). Then each model in the sequence is evaluated on how well it performs on the data that was held out (the holdout set).
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.
Guest Post: How quickly and effectively can you drive to a solution? (Insights America 2019)
Deductive logic has been used for millennia to describe the natural world. With the explosion of data availability and machine learning, some suggest inductive reasoning will make deduction obsolete – the end of science. An approach that supports learning and drives toward a solution involves both.
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.
A Better, Faster and Easier Solution for Data Analysis (Clone)
Minitab helps to harness the power of data with our release of Minitab 19, which assists users to make better, faster and easier data-driven decisions.