18.05 Lecture Notes - Lecture 5: Memorylessness, Power Law, Mit Opencourseware
Document Summary
1 learning goals: be able to give examples of what uniform, exponential and normal distributions are used to model, be able to give the range and pdf"s of uniform, exponential and normal distributions. Here we introduce a few fundamental continuous distributions. These will play important roles in the statistics part of the class. For each distribution, we give the range, the pdf, the cdf, and a short description of situations that it models. These distributions all depend on parameters, which we specify. As you look through each distribution do not try to memorize all the details; you can always look those up. Rather, focus on the shape of each distribution and what it models. Although it comes towards the end, we call your attention to the normal distribution. It is easily the most important distribution de ned here. 3 uniform distribution: parameters: a, b, range: [a, b], notation: uniform(a, b) or u(a, b). for a x b.
