Applications of Integrals: Probability: Introduction

In this video I go over an introduction into probability and how we can model probability through looking at the proportion of specific ranges of any continuous random variable over many experimental trial tests. From the experimental data, I show how we can create a model of the data, called the probability density function. This function is unique in that the area under the curve represents the probability that the random variable lies in that interval. Since we are dealing with areas under a curve, this naturally ties well into integrals. This is a very interesting and in-depth video that goes over the very core and basis of probability so make sure to watch this video!

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