Today was the hectic day in the office as I need to prepare and provide an architectural structure of failed project in my organization.
Well I've to move forward with my statistics study and day 3 is not that easy for me so far... half sleepy :S because of 15 hrs a day work :D...
Back to business...!
Before we can start with the real probability I think it is important to understand the basics of counting that covers the sets basics called Intersection, mutual exclusion, union.
In addition the counting by permutation theory where the object sequence matter and combination where the object sequence is not mattered.
Sample space: A set of all possible outcomes of an experience is called a sample space.
Event is the subset of sample space.
There are mutually exclusive events.
Tree diagrams are used to show all possibilities...
Probability has got the following axioms:
* It should be between 0 and 1.
* Probability of Sample space is 1.
* if A and B are any mutually exclusive events in S then P(A U B) = P(A) + P(B).
General addition rule
If A and B are any events in S then we add probability of A and B but subtract common probability.
Conditional Probability: If probability of A event is dependent on probability of B.
If the conditional probability of A|B is equal to probability of A then we call that A and B are independent.
If A and B are independent events then P(A) * P(B) is equal to Probability of A and B.
Bayes' theorem : Well what I've gathered so far is that one event must occur out of multiple mutually exclusive events.
I should be doing exercise this weekend and will scan my notes and paste here....
Also, I will be modifying these drafted blogs after my own book revisions :) so stay tune!!!.
As I've said in my previous blogging that I will be creating a separate section for formula and quick notes so don't worry if you have not got my English language :)
I'm off for the day , its 1 here and I have to wake up at 7... bhu bhu bhu :'(
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