
In hypothesis testing, we set a null and alternative hypothesis. We are seeking evidence that the alternative hypothesis is true given the sample data. By using a sample from a population and not measuring every item in the population, we need to consider a couple of unwanted outcomes. Statisticians have named these unwanted results Type I and Type II Errors. [Read more…]



Imagine working in an organization that does not provide training or has zero tolerance to taking a risk, trying something new and failing. Or it is expected that you have all of the answers and do not need any assistance ever. Sound familiar? If it does, how is the performance of your plant? Chances are it is not as good as it could be. This example is great at illustrating what a learning culture does not look like.








Ask a question or send along a comment.
Please login to view and use the contact form.