Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
Random Variables - AP Stats Chapter 16
Transcript of Random Variables - AP Stats Chapter 16
There are two types of random variables: Discrete and Contiuous. Discrete Random Variables are variables that can be counted, like the number of siblings, or the number of cars that go through a drive through, or how many times you win a game at Kings Island. Continuous Random Variables are variables that can be measured, like your height, or the amount of water in a cup, or the time it takes you to drive to school. In part 1, we will focus on Discrete Random Variables. What is a probability model or probability distribution? The mean of a probability distribution can also be called, "The Expected Value" of a probability distribution. The formula for the expected value (mean) and standard deviation of a probability distribution for a discrete random variable are . . . Here's another example of working with a probability distribution. In the next lecture, we will look at what happens if you combine the parameters of two or more probability distributions. Just for fun. See you in stats class. . .