Probability
Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur or how likely it is that a proposition is true. Probability is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility and 1 indicates certainty.
example : It will probably rain today.
:It doubt that he will pass the test.
Types of probability :
1. An Experimental approach
2. Axomatic approach
Introduction :-
- Event
- Sample Space
- Exhaustive cases
Event :- Let E be the event of any Experiment, and their outcome be probably defined, then total no. of Event is denoted by n(E).
Sample Space :- It is collection of all event.It is denoted by 's'.
let E1,E2,------------,En be the event. then S={E1,E2,E3,-------------,En} n(s) = n.Probability Event :- Let E be the event and s be the sample space then the probability is defined as p(E)
total number of events p(E) = --------------------------------- total number of outcome i.e p(E) = n(E) / n(S)where 0<=p(E)<=1
Q. When one coin is tossed what is probability of getting tail . let E be the event S = {H,T} n(S) = 2
E = {T} n(E) = 1
p(E) = n(E) / n(S) 1 / 2
Q. what is probability of getting head.
let E be the event
S = {H,T} n(S) = 2
E = {H} n(E) = 1
p(E) = n(E) / n(S) 1 / 2
Dependent and independent events
Two events, and are independent if and only if
P(A and B)=P(A)×P(B)
Independence
Roll a single -sided die and consider the following two events:
- : you get an even number
- : you get a number that is divisible by three
Now answer the following questions:
- What is the probability of ?
- What is the probability of getting an even number if you are told that the number was also divisible by three?
- Does knowing that the number was divisible by change the probability that the number was even?
Are the events and dependent or independent according to the definition? (Hint: compute the probabilities in the definition of independence.)
The probability of is the ratio between the number of outcomes in and the number of outcomes in the sample space, .
Now, let's say that we know that event happened. How does this affect the probability of ? Here is how the Venn diagram changes:
A lot of the possible outcomes (all of the outcomes outside ) are now out of the picture, because we know that they did not happen. Now the probability of happening, given that we know that happened, is the ratio between the size of the region where is present () and the size of all possible events ().
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