Statistics Probability

We found 13 articles

Understanding the central limit theorem
The central limit theorem (CLT for short) is an enormously powerful tool that makes much of what we do in statistics possible. But if you just read the actual definition, which you can find below, it’s pretty hard to understand why this theorem is so important. This blog post will help you understand both what the CLT is and why it is important ...
Calculating flood risk using probability and statistics
If at some point you ever want to buy property near water, a variation of this question will undoubtedly pass through your head: what are the chances that my {insert name of your expensive piece of property close to water} floods?
Understanding a confusion matrix
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, ...
Introductory statistics: are my data normal?
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.
Statistical mediation and moderation in psychological research
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 ...
How to use probability trees to evaluate conditional probability
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 of ...
Data Science and Intuitive Mathematics
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 ...
MCAT statistics crash course: what do I need to know? (part 2)
We already talked about Research Design and Execution, but there’s more to know about MCAT statistics! Here, we will be discussing topics that AMCAS wants you to know about Data-Based and Statistical Reasoning. Here’s what AMCAS wants you to know, and some tips to help you learn it! Use this post as an outline to guide your studying, and then come ...
MCAT statistics crash course: what do I need to know? (part 1)
As most of you know, the AAMC has published an extensive outline of topics and skills assessed by the new MCAT (the complete guide can be found HERE). It is important to look at this list before you start studying a subject, and going back to it periodically to make sure you are on the right track. This list is not exhaustive, and only covers ...
This can be you!