Description: The reference distribution is a probability distribution used as a standard for comparing other distributions. Its main function is to provide a framework for evaluating the variability and trend of data in relation to a theoretical model. This distribution can be normal, binomial, Poisson, among others, and is chosen based on the characteristics of the data being analyzed. By using a reference distribution, statisticians can determine whether the observed data fits what would be expected under certain conditions. This is crucial in statistical inference, where the goal is to make generalizations about a population based on a sample. Comparing with a reference distribution helps identify patterns, anomalies, and conduct hypothesis testing. In summary, the reference distribution is a fundamental tool in statistical analysis, as it allows for contextualizing results and making informed decisions based on comparisons with established models.
