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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 ...
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 ...
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.