Join Eddie Davila for an in-depth discussion in this video Discrete mean, part of Statistics Foundations: Probability.
- [Instructor] Discrete random variables. … They are experimental results, … often characterized by whole numbers. … They cannot be decimals. … Suppose we monitor the number of drinks ordered … per customer at a particular Starbucks location … between ten AM and 11 AM. … The number of drinks ordered per customer would be discrete. … I mean, you couldn't order half a drink or 30% of a drink. … Here's the data for the number of drinks ordered … per customer at a particular Starbucks … between ten AM and 11 AM. … In that one hour, there were 40 different paying customers. … Note, we're only counting the number of drinks … in their order. … 22 customers ordered only one drink. … 10 customers placed an order … for two drinks in their purchases. … We even had one customer that ordered … zero drinks during their purchase. … Perhaps they only bought a pastry. … As you can see, during this one hour, … each customer ordered between zero drinks and five drinks. … Using these discrete drink totals, …
Eddie explains that probability is used to make decisions about future outcomes and to understand past outcomes. He covers permutations, combinations, and percentiles, and goes into how to describe and calculate them. Eddie introduces multiple event probabilities and discusses when to add and subtract probabilities. He describes probability trees, Bayes’ Theorem, binomials, and so much more. You can learn to understand your data, prove theories, and save valuable resources—all by understanding the numbers.