Chapter One:
Random events: the relationship between events and operations
Probability:
First, the classical probability and geometric probability
Second, important official (8 large)
Sample space
Chapter two:
Random variables (random event)
Discrete random variables
Continuous random variables
Distribution function of the random variable
Discrete distribution function
Probability density function
Distribution function (for f (x) from negative infinity to the integration of x)
Concept density (f (x) = P (x))
Distributed random variable type (type determines the distribution of the probability density, or be able to find the concept of density distribution function)
Discrete:
1,0-1 distribution
2, binomial distribution
3, Poisson distribution
4, geometric distribution
5, hypergeometric distribution
Continuity
1, evenly distributed
2, exponential distribution
3, Shota distribution
Distribution function of the random variable
Discrete
Continuous