Summary of Maximum Likelihood, clearly explained!!!

00:00:00 - 00:05:00

This video explains how to calculate the mean and standard deviation of a distribution using maximum likelihood. The presenter also shows how to center a normal distribution on data in order to maximize the likelihood of observing given weights.

• 00:00:00 In this video, the presenter explains how to use maximum likelihood to fit a distribution to data. The presenter starts by explaining the mean and standard deviation of a normal distribution, and then shows how to find the maximum likelihood estimate for both the mean and standard deviation. Finally, the presenter explains how to center a normal distribution on the data in order to maximize the likelihood of observing the given weights.
• 00:05:00 In this video, statistician Thomas J. McCabe explains the difference between mean and likelihood, and shows how to calculate them for a distribution given a set of data. McCabe also discusses probability and likelihood, noting that they are interchangeable terms.