Statistics Probability

We found 10 articles

“I never understood that.”

One of the major tasks in machine learning and statistical testing is classification. In classification problems, we use a training set of labeled data to train our model to classify an unlabeled observation into one category or another. At the simplest level, this method uses observable data to make a related yes-or-no classification (like: will ...

If you’ve ever taken a statistics course, you’ve experienced the strange, slightly opaque world of statistical jargon, where colloquial language has highly specific meanings that are easily abused. One of the most famous, most abused statistical terms is the “p-value.” In almost every field of science there’s an ongoing discussion over P-values, ...

Statistics is fun, I promise! But before we can start having all the fun, it is important to describe the distribution of our data. We will need to handle problems differently depending on the distribution.

One of the most commonly identified challenges in statistics for psychology is differentiating between mediation and moderation. Fully understanding these concepts can seem overwhelming, but it doesn’t have to be that way! All concepts that seem tricky can be broken down into simple, comprehendible steps.

We see numbers all around us. Whether it’s on TV, online, or in the newspaper, our society has been flooded with random numbers and math-facts trying to prove a narrative. On any given TV channel, the commentators throw facts that try and catch your attention. “In games where Tom Brady has thrown 4 or more Touchdowns, the patriots have a worse ...

If you’re majoring in economics, you will likely also need to take a statistics course. One of the trickiest concepts is dealing with conditional probabilities. In most classes, they teach you a fairly complicated equation known as Bayes’ Theorem. While this isn’t a hard formula to plug values into, it doesn’t give an intuitive understanding ...

Sitting at the cross-roads of mathematics, statistics, and computer science, the emerging field of data science (ranked by many as the top career in the US) seems daunting to those still developing strong technical skills. At the same time, a host of dynamic and highly-efficient libraries give coders the power to treat complex areas like machine ...