Describe the continuity correction (covered in an earlier course unit), and explain how, when, and why it is used in statistics. don't limit your thinking to the most common example given of this corrective step: approximation of binomials using the normal distribution. while that is an example of such a correction, it is only one example. (hint: you could compare the development of this correction logic for discrete distributions to the use of integration against continuous distributions.) discuss the more general case and how it affects probabilities you might need to calculate as an engineering working on a project.