Media Summary: A lecture on determining if X and Y are independent random variables. We look at the joint density function and determine if it is ... A worked out example on the whiteboard of a joint density function. Definition of covariance and several examples of computing covariance.
Ma 381 Section 8 2 - Detailed Analysis & Overview
A lecture on determining if X and Y are independent random variables. We look at the joint density function and determine if it is ... A worked out example on the whiteboard of a joint density function. Definition of covariance and several examples of computing covariance. Example of what a conditional distribution is and how it is built. A discrete example of coin flipping is used. Definition of a conditional probability density function as well as an example. Lecture on the basic rules of counting with a few examples, indlucing the famous birthday problem.
A joint mass function example worked out on a white board. Section8.1 and Section8.2 Testing the Difference Between Means (Independent Samples) Part1 Example of building a conditional mass function for an urn problem. A lecture with examples for joint probability density functions. In this video, Detroit real estate broker and investor Monique Burns breaks down what is really happening with Determining the mean and variance for a continuous random variable.
One theorem and several worked out problems using counting principles.
