Check the size of your samples

- It's clear, supporting your decisions with data is the way to go. We talked about the risk of having too much data, but having too little can also be detrimental for your decision making when using an analytical mindset. For example, imagine if I wanted to understand the average salary in my hometown, Charlotte. So I took a random sample of five people on the street. If I found their average salary to be $200,000 and then extrapolated that to represent the entire city, saying that the average salary in Charlotte is $200,000, you would think I'm crazy. I can't use the measurements from five people to draw such a far reaching conclusion, I would need a much larger sample. This is a simplified version, and as crazy as it sounds, it happens all the time and we take for granted the importance of sample sizes. Avoid making the same mistake by gathering large enough data samples to support your thinking process. There is no single rule for selecting sample size, but most recommend between…