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Welcome to the world of probability distributions! In this guide, we will explore various distributions used in statistics and data analysis. Each section will provide details about the characteristics, formulas, and applications of each distribution.
The normal distribution is perhaps the most important distribution in statistics. It is often called the "bell curve" due to its distinctive shape. The normal distribution occurs naturally in many situations.
The binomial distribution models the number of successes in a fixed number of binary (yes/no) experiments, each with the same probability of success.
The Poisson distribution is used to model the number of events occurring within a fixed interval of time or space, assuming these events are occurring with a known constant mean rate and independently of the time since the last event.