Probability and Statistics Part 2
Independent Events
If two events are independent, the probability of one does not change if the other occurs. Mathematically,
However since above equation is not valid if P(B) = 0, we use a symmetric definition:
For multiple events,
Independent Trials
Binary Trials
Also called Bernoulli trials, it is a sequence of identical independent experiments such as repeated coin tossing. Given the probability of one event (p), the probability of the other event is 1 — p. The probability of a particular sequence of N trials with the k occurrences of the event with the probability p is:
Non-binary Trials
A set of outcomes for m-ary experiment is:
It has respective probabilities:
A particular sequence has respective occurrences of:
The probability of such sequence is: