Understanding the Assumptions of Linear Regression Linear regression is a powerful statistical technique used for modeling the relationship between a dependent variable and one or more independent variables. While the model can be highly effective for making predictions, its validity and accuracy depend on certain assumptions being met. These assumptions ensure that the model fits…
Introduction The Central Limit Theorem (CLT) is one of the cornerstones of statistical theory and a powerful concept in probability. This theorem explains why the normal distribution appears so often in real-world data, even when the original data doesn’t follow a normal distribution. Understanding CLT is crucial for statisticians, data analysts, and anyone working with…
In probability theory, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment. These distributions are either discrete or continuous, depending on whether the outcomes are countable or measurable over a range of values.
