Let's say you live in a city with a sudden spike in the homicide rate. Researchers may analyze the data and discover that a third of all murders happen during the day, while the rest happen at night. One newspaper reports this data using the headline, one third of all murders happen in broad daylight. While a second newspaper's headline reads you are twice as likely to be murdered at night. Which headline is true? They both are. Each newspaper chose to focus on a different side of the same statistics.
Now let's say there had never been more than 50 homicides in your city until last year, when that number jumped to 100. But this year, that number dropped to 75, and this also happens to be a year when your Police Chief is running for re-election. His campaign says, we lowered the homicide rate by 25%. But his challenger's campaign says, this year saw the second most murders in the city's history. Which campaign is telling the truth? They both are. Each side simply chose to interpret the same set of statistics differently.
When we talk about statistics, we're talking about numbers. And numbers don't have opinions. But people do. And how each of us interprets the same statistics can help determine everything we do. From what we buy to where we live to who we elect into office. In this course, you'll learn different ways to analyze data and interpret statistics, and how to form a future hypothesis based on what you already know