Outside of their jobs, employees make important decisions every day. They
vote on community issues. They help teach their children new skills. They
purchase homes and cars and life insurance. But on the job, how many people are
allowed to make important decisions about their work? How many people have input
into how they do their own jobs, lead a team, find out what their customers need
or make decisions about what will work better for their customers?
Professional statisticians typically have powerful software at their disposal to perform advanced analyses and create slick graphs. But many professionals in the quality field don't enjoy that luxury. Faced with a limited budget, they must be resourceful with the software they already have. Besides, not everyone needs the capability to perform nonlinear regression with custom loss functions for maximum likelihood!