
What P-Values in Statistics Mean in Plain English
An article that attempts to explain what P-Values mean in statistics in plain English without the technical jargon.
An article that attempts to explain what P-Values mean in statistics in plain English without the technical jargon.
In observing and interacting with more than 200 companies since 2001, I observed patterns across companies where business improvement struggled. There are the characteristics I observed that now tell me a business improvement initiative probably needs to be looked at or it is at risk of disappearing or being replaced with another.
When organisational change is dependent on a human behaviour shift, and the persons involved can choose to not engage in the new behaviour, the real test of change leadership begins.
Many students of ‘root cause analysis’ training are taught to ask questions based on the word ‘why’. This article explains why that question might not be the best one.
Effective communication during a crisis can make or break a company’s reputation and future success. Some companies excel at this, while others fail. This article explores examples of both good and bad and dissects the key differences between them.
I found a way, years ago, to avoid getting bogged down in data – to avoid the challenge of ‘paralysis by analysis’ when digging into the numbers to find the cause of something.
Remembering the contribution of Dr. W. Edwards Deming to the total quality movement and the foundations he built for all of us involved in business improvement.
Just because a data set has the same mean and median, does not mean it is normally distributed. Let’s clear up the confusion.
The term “woke”, what is it, where did it come from, has it gone too far? A discussion on a term that has appeared seemingly out of nowhere in recent years.
Diversity is often misunderstood, implemented as tokenism, and can create problems if not done properly. Here is a long-winded, albeit important discussion about the topic.