![Probability Theory Continued: Infusing Law of Total Probability With Kolmogorov's Definition of Joint Probability | by Michael Knight | Towards Data Science Probability Theory Continued: Infusing Law of Total Probability With Kolmogorov's Definition of Joint Probability | by Michael Knight | Towards Data Science](https://miro.medium.com/max/400/1*kujoYBvub5u7ECbnpGwh9Q.png)
Probability Theory Continued: Infusing Law of Total Probability With Kolmogorov's Definition of Joint Probability | by Michael Knight | Towards Data Science
![Twitter 上的 MathType: Twitter 上的 MathType:](https://pbs.twimg.com/media/EB78wuzXsAIdwrK.jpg)
Twitter 上的 MathType:"The Total Probability Theorem expresses the probability of an event given a partition of the sample space. For example, given the probability that a dice roll yields 1,2,3,4,5 or 6
![Probability Theory Continued: Infusing Law of Total Probability With Kolmogorov's Definition of Joint Probability | by Michael Knight | Towards Data Science Probability Theory Continued: Infusing Law of Total Probability With Kolmogorov's Definition of Joint Probability | by Michael Knight | Towards Data Science](https://miro.medium.com/max/1398/1*cxCDNbjasINIUrWeYrSmqg.png)