Probability Model
on Math
1. discrete random variable
When the image of X is finite or countably infinite, the random variable is called a discrete random variable
- Probability Mass Function
2. continuous random variable
When the image is uncountably infinite then X is called continuous random variable
- Probability Density Function
3. mean, median, mode
4. Moments
- first moment (Expectation)
- sample mean
- expectation properties
- second moment (variance)
- sample variance
- biased sample variance
- unbiased sample variance
- variance properties
- third moment (Skewness)
- fourth moment (Kurtosis)
Reference