Collecting Good Data: It's a Messy World, Confound it!
Collecting Good Data: It's a Messy World, Confound it!
Get a Head Start: Understand Your Data--Before You Analyze It
Get a Head Start: Understand Your Data--Before You Analyze It
Macros and Multivariate Analysis Help Researchers Keep Tabs on Florida Water Quality
Macros and Multivariate Analysis Help Researchers Keep Tabs on Florida Water Quality
How to Get Problem Data Even with a “Gold Standard” Measurement System
How to Get Problem Data Even with a “Gold Standard” Measurement System
Understanding Overfit in Statistics: Those Skintight Jeans Fit Perfect When You Bought Them, But…
Understanding Overfit in Statistics: Those Skintight Jeans Fit Perfect When You Bought Them, But…
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.