Hey Developer’s, I’m back with a new topic which is Introduction To Probability and Examples in the series of statistics foundations.
Quick Refresher
If events do not influence one another, they are called independent.
If subsequent events influence one another, they are dependent
So, let’s get started …
Introduction To Probability
Probability : It is how likely an event to occur
Probability of an event is a number that is :
- A value between 0 and 1 inclusive
- Value of 0 corresponds to “unlikely” or “almost never”
- Value of 1 corresponds to “almost” or “surely”
Typically recorded as P(event) = value
Sometimes also expressed as percentage (0% to 100% respectively)
- There’s 50% chance that -> P = 0.5 = 1/2
- I am 90% certain that -> P = 0.9 = 9/10
Probability Examples
Consider a coin flip S = {E(H),E(T)}
P(S) = 1 by definition
P(E(H)) = P(E(T)) as both events are equally likely
Solving : P(E(H))+P(E(T)) = 1 , P(E(H))-P(E(T)) = 0 gives us
P(E(H)) = P(E(T)) = 1/2
P(head and tail) = 0, because coin cannot land on both head and tail at the same time
P(head or tail) = P(S) = 1, because coin will definitely land on head or tail.
Next Post will be on Rules Of Probability
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