A lot of people say they can’t do math. With a shake of the head, “No, I’m not good with numbers.” But they’re just being shy.

When you go to the grocery store and decide what goes in the cart and what stays on the shelf, you are doing math. With the background knowledge that money going out on fruit, milk, and meat has to come close to how much money is coming in, that’s a balancing act. There’s an equation in play, an equality.

You are doing math when you solve puzzles like Suduko or play strategy games like Sequence. Or when you have to meet someone across town. You are doing math when you calculate your drive time, including parking time. Maybe there is a risk of a traffic delay. Then you’re calculating the probability of an event and adding time accordingly. You have your givens: when you are suppose to be there, the speed limit, your route choices. The equation solves for how much time to allow.

The risk portion is a little more complicated. Probability is a fun one when it comes to betting on your poker hand, or figuring out the cards in your bridge partner’s hand. There’s a whole discipline devoted to probabilities. In statistics probabilities determine the likelihoods of events replicating historical data. If we know the past, we can be pretty sure about the future, to a certain probability.

There’s this weird rule called the Null Hypothesis. In Statistics for Social Data Analysis by David Knoke, the author asks: “What is the probability that the relationship observed in the sample data could come from a population in which there is *no* relationship between the two variables?” (the two things you are interested in comparing). You see, if you can show that this is false, or null, then voila–you’ve proven your point. Seems backwards, right? To prove a relationship, you disprove that there isn’t one.

Whether you think of it as doing math, you are in fact calculating (shrewdly I might add) every time you buy or sell a home. Buyers and sellers weigh all the features they value, do some internal calculating and sum it up to one final number: the figure they are willing to either pony up to purchase, or, exchange for a signed warranty deed. As buyers and sellers do this over and over and over again, the numbers can start to tell you things about what they prefer.

A statistician can work the data over to glean some insights, but it’s the consumers who are doing the math.

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